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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
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Multivariate Statistics
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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
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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
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Incubator Summer Academy: Opening session
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Incubator Summer Academy: Introduction to Git
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Fundamentals of scientific metadata: why context matters
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Fundamentals of scientific metadata: why context matters
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First steps in Python
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Object-oriented Programming in Python
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Helmholtz Career Day for Data Science and IT
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Foundations of Research Software Publication
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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
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Meeting on EOSC Task Forces and exchange with EOSC Secretariat on the EOSC Focus project
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2nd Practice Forum Research Data Management
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3. Helmholtz Open Science Forum: Forschungssoftware
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Scientific Data Curation in Research Field Matter
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Scientific Data Curation in Research Field Matter (Basics)
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On-site AI consultance event at Forschungszentrum Jülich
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65th Helmholtz Open Science Online Seminar
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Hackathon - Developing New Battery Strategies
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First Steps in Python
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Data Science & Health
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Introduction to Indico
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HMC FAIR Friday in coop. with HIDA
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Computational Health Seminar: Dana Pe'er
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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"
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Introduction to OOP in Python
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Using Containers in Science
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15th Data Science Colloquium | "Building Foundations for Scientific Machine Learning at Scale"
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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)
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Statistical Models with R
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Introduction to Statistics
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Graphics with R
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Multivariate Statistics 1
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Mixed Models
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RMarkdown
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Introduction to Statistics using Python
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Introduction to R
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Statistical Models with R
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Graphics with R
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RMarkdown
|
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Multivariate Statistics 1
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Multivariate Statistics 2
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Introduction to OOP in Python
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First Steps in Python
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Foundations of Research Software Publication
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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
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Convolutional Neural Networks - a Big Picture Introduction
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Love your data? Make it reproducible! A workshop on reproducibility in data science
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Introduction to Indico (Event Management)
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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
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HiRSE Seminar Series - Jupyter Notebooks for RSE and HPC
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HMC FAIR Friday with Britta Dreyer
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HiRSE Seminar Series - Community Building for Research Software Engineering through Podcasting
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Software Carpentry (Shell, Git, R for Reproducible Scientific Analysis)
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Software Development Practices with MATLAB
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Parallel Computing with MATLAB
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HiRSE Seminar Series - 'Scientific software on the permanent edge of production'
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Continuous Integration in GitLab
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Software Carpentry Workshop at KIT
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Helmholtz Open Science Forum “Scholar-led-Publishing in Helmholtz”
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Incubator Summer Academy
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Helmholtz Open Science Forum “Research Evaluation, Reputation Systems, and Openness”
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RSE Bootcamp Part 1/3: Python
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Helmholtz Open Science Forum “Research Evaluation, Reputation Systems, and Openness”
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Six Main Tasks in Image Processing
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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.
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Ocean/Atmosphere Time Series Analysis: Theory and Practice
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2nd AI-HERO Hackathon on Energy-Efficient AI
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Data Analysis Intensive
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HiRSE Seminar Series - Code execution during peer review: CODECHECK and RSE reviewers.
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RSE Bootcamp Part 2: Version control & project management
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Software Carpentry (Shell, Git, Plotting and Programming in Python)
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RSE Bootcamp Part 2/3: Version control & project management
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First Steps in Python
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HiRSE Seminar Series - Leveraging the SQAaaS platform to adopt and get recognition for quality practices in software development.
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Helmholtz Entrepreneurs: From Idea to I Did - Turn your Data Science into Business
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HiRSE Seminar: Can Software Metrics Improve Software Quality?
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