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Title
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HIDA Annual Conference
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Data Science & Health: "Next-generation biomedical image analysis competitions"
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HIDA Lectures @ HEIBRiDS
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Programming with R
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German Reproducibility Day
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Data Science Colloquium: Machine Learning for X-Ray and cryo EM at SLAC
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HIP Winter School 2021
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AI-Hero Hackathon on Energy Efficient AI
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Data Science Seminar: Statistical Recovery of Compositional Discrete Structures
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7th International Autumn School on AI and Big Data
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ML@Hereon 35: A Rare Case of Medium Range Weather Forecasting Well Done with Resnets
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2. Helmholtz Open Science Forum: Helmholtz in der Nationalen Forschungsdateninfrastruktur (NFDI)
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First steps in Python-Programming
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Python from 0 to Data Analysis for KIT
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Introduction to Supercomputing at JSC - Theory & Practice
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HIDA Lectures@HEIBRiDS: The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis
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HIDA Lectures@HDS-LEE: Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
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MarDATA Online Lecture Series: "Marine Data Visualization: Ocean Data View"
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61th Online Seminar: Open Access Publishing – Zooming in on Copyright and CC Licenses
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ELLIS Life/NCT Data Science Seminar: Machine Learning for Single Cell Omics
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CfA: campusSOURCE Award 2022
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TEACH - Talk about Education Across Communities in Helmholtz
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ORCID DE Online-Seminar "Persistent Identifier in Publikations- und Affiliationsrichtlinien"
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Data Science Colloquium | Prof. Kutyniok | “Deep Learning meets Shearlets: Explainable Hybrid Solvers for Inverse Problems in Imaging Science"
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ML@Hereon episode 35: "One column, many steps"
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Women in Data Science: Prof Julia Schnabel
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Helmholtz Open Science Praxisforum Forschungsdatenmanagement
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Applying Data Science
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Programming with Python
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Programming with R
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GitLab for Software Development in Teams
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Project Management with GitLab (Cancelled)
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Test Automation with Python (Rescheduled)
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ML@HZDR Symposium 2021
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CASUS Annual Workshop 2021 - "Digital Twins of Complex Systems"
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62. Helmholtz Open Science Online-Seminar: Die IPCC FAIR Datenrichtlinien aus der Sicht des IPCC Data Distribution Centres (DDC)
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Einführung in Python
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Data Science Colloquium | Prof. Gohlke | “Enzyme function - much to understand, optimize, and discover"
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Introduction to Scalable Deep Learning
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Helmholtz GPU Hackathon 2022
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6. ORCID DE: ORCID in erweiterten Kontexten – Ergebnisse und Ausblick von persistenten Identifiern in Wissenschaft und Kultur
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Version Control with Git
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Artificial Intelligence in Digital Health (AIDHeal)
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Data Science & Health: "Trends and Topics in Text Analytics"
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Data Science & Health: "Combinatorial Optimization Techniques for Bioimaging"
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Data Science & Health: "Machine Learning for Genomics"
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Data Science & Health: "Introduction to Visual Data Science"
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Foundations of Research Software Publication
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Test Automation with Python
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Test Automation with Python
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GitLab for Software Development in Teams
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Introduction to Git and GitLab
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Helmholtz AI special edition seminar - Joris van Eijnatten
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Information Event on HIDA Researcher Grants
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Introduction to Shell + Git + GitLab
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First Steps in Python
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Software Carpentry (Shell, Git, R for Reproducible Scientific Analysis)
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Data Science Colloquium | Prof. Noé | “Deep Learning for Molecular Physics"
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HIDA Lecture @ HIDSS4Health
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Introduction to parallel programming with MPI and OpenMP
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Data Carpentry: Genomics
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ML@Hereon Episode 39: "Extreme Events, Modest Models"
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63rd Helmholtz Open Science Online Seminar
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Introduction to R & Statistical Models with R
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Infosession for Helmholtz Scientists - Become a Host for the HIDA Research Grants
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RDA Deutschland Tagung 2022
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Data Science Jobs for Health @ Helmholtz
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Graphics with R
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ML@Hereon Episode 40: "Foiled Again?"
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DLR OpenSearch Colloquium: Information Extraction and Entity Linking for Semantic Web Search
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2. Helmholtz Open Science Forum: Forschungssoftware
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Science Communication - Write Your Own Blog
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Introduction to Shell + Git + GitLab
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ML@Hereon Episode 41: "Futureproof your training data"
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Data Carpentry: Ecology with Python
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Reproducibility for Matter Research - Reproducibility in Research by R4E
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Reproducibility for Matter Research - Foundation of Research Software Publication
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Introduction to Statistics
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Mixed Models
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64th Online Seminar: OpenAlex
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RMarkdown
|
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Multivariate Statistics
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Introduction to R
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|
Graphics with R
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|
Introduction to Statistics
|
|
Multivariate Statistics
|
|
RMarkdown
|
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Helmholtz AI Virtual Roadshow
|
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HMC FAIR Friday in coop. with HIDA
|
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ML@Hereon Episode 42: Paint-by-numbers - Connect the little dots to forecast weather
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Helmholtz Open Science Forum: Open Science und Transfer
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Introduction to Python (3)
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Analyzing and Visualizing Geospatial Data with MATLAB
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Data Science with MATLAB
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Software Development Practices with MATLAB
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Fundamentals of scientific metadata - why context matters
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Mixed Models
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Version control using Git and RStudio
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Imaging - From Organisms to Molecules
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HMC FAIR Friday in coop. with HIDA
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Statistical Models with R
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Imaging - From Organisms to Molecules
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Imaging - From Organisms to Molecules
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Imaging - From Organisms to Molecules
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Imaging - From Organisms to Molecules
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Imaging - From Organisms to Molecules
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Imaging - From Organisms to Molecules
|
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First Steps in Python
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HIDA Lectures @ HEIBRiDS: Title: "The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis"
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Helmholtz AI Conference 2022
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Helmholtz Imaging Conference 2022
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ML@Hereon: Episode 45 "Data-driven discovery of Governing Equations"
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Data Science Colloquium on Aprilr 21st, 2021 | “Statistical Challenges in Protein Dynamics Modelling”
|
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Helmholtz AI CountMeIn Challenge
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ML@Hereon: Episode 46 "Mapping to the Windows"
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HMC FAIR Friday in coop. with HIDA
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EU Reform Research Assessment
|
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Helmholtz Entrepreneurs – From Idea to I Did
|
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Incubator Summer Academy - From Zero to Hero
|
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Applying Data Science
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Enabling reproducibility in data science - learn why it matters and how you can do it
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Introduction to OOP in Python
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Continuous Integration in GitLab
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MLE School 2022
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TEACH 2 - Open Up!
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HMC FAIR Friday in coop. with HIDA
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First steps in Python
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Visual Communication of Science
|
|
Continuous Integration in GitLab
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AI, Neuroscience and Hardware: From Neural to Artificial Systems and Back Again
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Data Science Colloquium on June 23rd, 2022 | HIDA Lectures @ DASHH | “Leveraging AI for Science"
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A Crash Course on Semantics and Knowledge Representation
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Enterprise Data Landscapes: Data Lakes and Data Marketplaces
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Dimension-reduction and data visualisation; applications and challenges in single-cell biology
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Carpentries Workshop on Genomics
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HMC FAIR Friday in coop. with HIDA
|
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Incubator Summer Academy: Introduction to Python
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Incubator Summer Academy: Introduction to Git
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Incubator Summer Academy: Sharing Scientific Software Solutions Across Tools and Domains with Helmholtz Imaging Solutions
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Incubator Summer Academy: Reproducible Data Science
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Incubator Summer Academy: Introduction to Gitlab
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Incubator Summer Academy: Data Science with Python (Pandas)
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Incubator Summer Academy: Fundamentals of Scientific Metadata
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Incubator Summer Academy: Data Challenge
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Incubator Summer Academy: HIDA Networking event
|
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ML@Hereon: Episode 49 "Recovering Ancient History"
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Survival Analysis
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Incubator Summer Academy: Helmholtz Career Corner
|
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Incubator Summer Academy: Introduction to Interpretable Machine Learning
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Incubator Summer Academy: Introduction to GitLab CI
|
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Incubator Summer Academy: Visualization with Python (matplotlib)
|
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Incubator Summer Academy: Machine Learning-Based Biomedical Image Analysis
|
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Incubator Summer Academy: Introduction to Machine Learning
|
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Incubator Summer Academy: Introduction to Napari
|
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Incubator Summer Academy: Machine Learning for Instance Segmentation and Tracking
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Incubator Summer Academy: Helmholtz Imaging for you!
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Incubator Summer Academy: Introduction to Statistical Learning
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Incubator Summer Academy: Foundations of Research Software Publication
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Incubator Summer Academy: Helmholtz Entrepreneurs: From Idea to I did
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Incubator Summer Academy: Imaging Metadata
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Incubator Summer Academy: Introduction to Deep Learning
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Incubator Summer Academy: Introduction to Statistical Learning
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2nd AI-Hero Hackathon on Energy Efficient AI
|
|
Incubator Summer Academy: Opening session
|
|
Incubator Summer Academy: Introduction to Git
|
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Fundamentals of scientific metadata: why context matters
|
|
Fundamentals of scientific metadata: why context matters
|
|
First steps in Python
|
|
Object-oriented Programming in Python
|
|
Helmholtz Career Day for Data Science and IT
|
|
Foundations of Research Software Publication
|
|
Software Carpentry (Software Carpentry (Shell, Git, R for Reproducible Scientific Analysis)
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|
RMarkdown
|
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Helmholtz Open Science Forum: Publikationskostenmanagement
|
|
Meeting on EOSC Task Forces and exchange with EOSC Secretariat on the EOSC Focus project
|
|
2nd Practice Forum Research Data Management
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3. Helmholtz Open Science Forum: Forschungssoftware
|
|
Scientific Data Curation in Research Field Matter
|
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Scientific Data Curation in Research Field Matter (Basics)
|
|
On-site AI consultance event at Forschungszentrum Jülich
|
|
65th Helmholtz Open Science Online Seminar
|
|
Hackathon - Developing New Battery Strategies
|
|
First Steps in Python
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|
Data Science & Health
|
|
Introduction to Indico
|
|
HMC FAIR Friday in coop. with HIDA
|
|
Computational Health Seminar: Dana Pe'er
|
|
Directions in Interpretability - Ruth Fong (HEIBRiDS Lecture Series)
|
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14th Data Science Colloquium | "Investigating Solid-Liquid Interfaces Using High-Dimensional Neural Network Potentials"
|
|
Introduction to OOP in Python
|
|
Using Containers in Science
|
|
15th Data Science Colloquium | "Building Foundations for Scientific Machine Learning at Scale"
|
|
66th Helmholtz Open Science Online Seminar
|
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Reconstructing brain sources and their interactions from M/EEG recordings - Stefan Haufe (HEIBRiDS Lecture Series)
|
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Becoming a Scientific Writer - Putting Why before How
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Introduction to R
|
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Software Carpentry (Shell, Git, Plotting and Programming in Python)
|
|
Statistical Models with R
|
|
Introduction to Statistics
|
|
Graphics with R
|
|
Multivariate Statistics 1
|
|
Mixed Models
|
|
RMarkdown
|
|
Introduction to Statistics using Python
|
|
Introduction to R
|
|
Statistical Models with R
|
|
Graphics with R
|
|
RMarkdown
|
|
Multivariate Statistics 1
|
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Multivariate Statistics 2
|
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Introduction to OOP in Python
|
|
First Steps in Python
|
|
Foundations of Research Software Publication
|
|
Introduction to Git and GitLab
|
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Ingmar Posner: Learning to Perceive and to Act – Disentangling Tales from (Structured) Latent Space - HEIBRiDS lecture series
|
|
Convolutional Neural Networks - a Big Picture Introduction
|
|
Love your data? Make it reproducible! A workshop on reproducibility in data science
|
|
Introduction to Indico (Event Management)
|
|
Data Processing with Pandas
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|
Generating Plots with Matplotlib
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First Steps in Python
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Data Carpentry Genomics
|
|
HiRSE Seminar Series - Jupyter Notebooks for RSE and HPC
|
|
HMC FAIR Friday with Britta Dreyer
|
|
HiRSE Seminar Series - Community Building for Research Software Engineering through Podcasting
|
|
Software Carpentry (Shell, Git, R for Reproducible Scientific Analysis)
|
|
Software Development Practices with MATLAB
|
|
Parallel Computing with MATLAB
|
|
HiRSE Seminar Series - 'Scientific software on the permanent edge of production'
|
|
Continuous Integration in GitLab
|
|
Software Carpentry Workshop at KIT
|
|
Helmholtz Open Science Forum “Scholar-led-Publishing in Helmholtz”
|
|
Incubator Summer Academy
|
|
Helmholtz Open Science Forum “Research Evaluation, Reputation Systems, and Openness”
|
|
RSE Bootcamp Part 1/3: Python
|
|
Helmholtz Open Science Forum “Research Evaluation, Reputation Systems, and Openness”
|
|
Six Main Tasks in Image Processing
|
|
5th Summer School in Medical Physics 2023: Data Science and Machine Learning in Radiotherapy
|
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HiRSE Seminar Series - Increasing the visibility of Research Software: the Helmholtz Research Software Directory.
|
|
Ocean/Atmosphere Time Series Analysis: Theory and Practice
|
|
2nd AI-HERO Hackathon on Energy-Efficient AI
|
|
Data Analysis Intensive
|
|
HiRSE Seminar Series - Code execution during peer review: CODECHECK and RSE reviewers.
|
|
RSE Bootcamp Part 2: Version control & project management
|
|
Software Carpentry (Shell, Git, Plotting and Programming in Python)
|
|
RSE Bootcamp Part 2/3: Version control & project management
|
|
First Steps in Python
|
|
HiRSE Seminar Series - Leveraging the SQAaaS platform to adopt and get recognition for quality practices in software development.
|
|
Helmholtz Entrepreneurs: From Idea to I Did - Turn your Data Science into Business
|
|
HiRSE Seminar: Can Software Metrics Improve Software Quality?
|
|
KCDS Summer School 2023 on Stochastic and Hybrid Modeling
|
|
3. Helmholtz Open Science Forum on the NFDI: Inside Perspectives from the Centers
|
|
Show me the Data: From Data to Insights and Stories with Visualizations
|
|
HiRSE Seminar Series - Can Software Metrics Improve Software Quality?
|
|
Knowledge Representation with the Semantic Web and Knowledge Graphs
|
|
Introduction to Python
|
|
Helmholtz TEACH Conference
|
|
RSE Bootcamp Part 3: Continuous Integration (CI)
|
|
4. Open Science Forum Forschungssoftware
|
|
CERN/NASA Summit: “Accelerating the Adoption of Open Science”
|
|
Deep Learning - Recent Advances in Kernel Methods for Neural Networks
|
|
Reproducibility in Science (Course package at Incubator Summer Academy)
|
|
Introduction to Statistical Learning (Course package at Incubator Summer Academy)
|
|
Python (Course package at Incubator Summer Academy)
|
|
Introduction to Machine Learning (Course package at Incubator Summer Academy)
|
|
Introduction to Explainable AI and ML Fairness (Course package at Incubator Summer Academy)
|
|
Machine Learning- based Image Analysis (Course package at Incubator Summer Academy)
|
|
Introduction to Deep Learning (Course package at Incubator Summer Academy)
|
|
Version Control & Project Management (Package at Incubator Summer Academy)
|
|
Introduction to Scientific Metadata (Course Package at Incubator Summer Academy)
|
|
Machine Learning for Instance Segmentation (Package at Incubator Summer Academy)
|
|
Continuous Integration (Course package at Incubator Summer Academy)
|
|
Regularization in Image Reconstruction: From Model to Data Driven (Course package at Incubator Summer Academy)
|
|
Entrepreneurship: From Idea to I did (Course package at Incubator Summer Academy)
|
|
First steps in Python
|
|
MLE Days 2023 - Summer School and Conference for Machine Learning in Engineering
|
|
Humboldt IP Days
|
|
1st Conference on Research Data Infrastructure (CoRID)
|
|
open-access.network: Workshop "Finanzierungsströme für die Open-Access-Transformation – Überblick und Stand der Diskussion"
|
|
Forum: Bericht zur Entwicklung bzw. Implementierung von Forschungsdaten-Policies in Helmholtz 2023
|
|
Satelliten-Konferenz „Wissenschaftsgeleitetes Open-Access-Publizieren“ zu den Open-Access-Tagen 2023
|
|
Workshop zum Thema "PIDs für Textpublikationen"
|
|
Helmholtz Open Science Office auf dem 4. Helmholtz Sustainability Summit
|
|
19th HiRSE Seminar - 'Research Software, Software Research, and more'
|
|
Building and Manage Events on events.hifis.net
|
|
Helmholtz Reproducibility Workshop
|
|
20th HiRSE Seminar - All you need to know about Software Licenses as an Research Software Engineer (RSE)
|
|
First Steps in Python
|
|
Pandas + Matplotlib
|
|
Helmholtz Career Day for Data Science and IT
|
|
The future of governing equations (HIDA Lecture @ HEIBRIDS)
|
|
MarDATA Online Lecture Series: "Deep Learning from Heterogeneous Big Geospatial Data"
|
|
"Data Science & Health" Lecture Series
|
|
22nd HiRSE Seminar - Enabling Open and Reproducible Science Through Community-Driven Training with The Carpentries
|
|
HUMAN VIRTUOSITY AND AI – BOOSTER FOR MUSICAL CREATIVITY?
|
|
Fundamentals of scientific metadata: why context matters
|
|
67th Helmholtz Open Science Online Seminar
|
|
Helmholtz Reproducibility Workshop
|
|
Online-Workshop: Monitoring von Forschungsdaten-Publikationen – Stand und Perspektive
|
|
Virtuelle Podiumsdiskussion „Offene Infrastrukturen für Open Science“
|
|
MarDATA Online Lecture Series: Creating Probabilistic Forecasts Using Interpretable Machine Learning
|
|
21st HiRSE Seminar: Docs-as-code: how to write documentation with developers.
|
|
HMC FAIR Friday - The WorldFAIR project
|
|
Artificial Intelligence – Opportunities and Risks for Applications in Sustainability and Healthcare
|
|
Software Carpentry (Shell, Git, Programming with R)
|
|
23rd HiRSE Seminar - 'US-RSE: Envisioning the Next Stage and Defining Next Steps'
|
|
Introduction to R
|
|
Graphics with R
|
|
Statistical Models with R
|
|
Introduction to Statistics
|
|
First steps with Python
|
