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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"
|
|
HIDA Lectures @ HEIBRiDS
|
|
Programming with R
|
|
German Reproducibility Day
|
|
Data Science Colloquium: Machine Learning for X-Ray and cryo EM at SLAC
|
|
HIP Winter School 2021
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|
AI-Hero Hackathon on Energy Efficient AI
|
|
Data Science Seminar: Statistical Recovery of Compositional Discrete Structures
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|
7th International Autumn School on AI and Big Data
|
|
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)
|
|
First steps in Python-Programming
|
|
Python from 0 to Data Analysis for KIT
|
|
Introduction to Supercomputing at JSC - Theory & Practice
|
|
HIDA Lectures@HEIBRiDS: The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis
|
|
HIDA Lectures@HDS-LEE: Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
|
|
MarDATA Online Lecture Series: "Marine Data Visualization: Ocean Data View"
|
|
61th Online Seminar: Open Access Publishing – Zooming in on Copyright and CC Licenses
|
|
ELLIS Life/NCT Data Science Seminar: Machine Learning for Single Cell Omics
|
|
CfA: campusSOURCE Award 2022
|
|
TEACH - Talk about Education Across Communities in Helmholtz
|
|
ORCID DE Online-Seminar "Persistent Identifier in Publikations- und Affiliationsrichtlinien"
|
|
Data Science Colloquium | Prof. Kutyniok | “Deep Learning meets Shearlets: Explainable Hybrid Solvers for Inverse Problems in Imaging Science"
|
|
ML@Hereon episode 35: "One column, many steps"
|
|
Women in Data Science: Prof Julia Schnabel
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|
Helmholtz Open Science Praxisforum Forschungsdatenmanagement
|
|
Applying Data Science
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|
Programming with Python
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|
Programming with R
|
|
GitLab for Software Development in Teams
|
|
Project Management with GitLab (Cancelled)
|
|
Test Automation with Python (Rescheduled)
|
|
ML@HZDR Symposium 2021
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|
CASUS Annual Workshop 2021 - "Digital Twins of Complex Systems"
|
|
62. Helmholtz Open Science Online-Seminar: Die IPCC FAIR Datenrichtlinien aus der Sicht des IPCC Data Distribution Centres (DDC)
|
|
Einführung in Python
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|
Data Science Colloquium | Prof. Gohlke | “Enzyme function - much to understand, optimize, and discover"
|
|
Introduction to Scalable Deep Learning
|
|
Helmholtz GPU Hackathon 2022
|
|
6. ORCID DE: ORCID in erweiterten Kontexten – Ergebnisse und Ausblick von persistenten Identifiern in Wissenschaft und Kultur
|
|
Version Control with Git
|
|
Artificial Intelligence in Digital Health (AIDHeal)
|
|
Data Science & Health: "Trends and Topics in Text Analytics"
|
|
Data Science & Health: "Combinatorial Optimization Techniques for Bioimaging"
|
|
Data Science & Health: "Machine Learning for Genomics"
|
|
Data Science & Health: "Introduction to Visual Data Science"
|
|
Foundations of Research Software Publication
|
|
Test Automation with Python
|
|
Test Automation with Python
|
|
GitLab for Software Development in Teams
|
|
Introduction to Git and GitLab
|
|
Helmholtz AI special edition seminar - Joris van Eijnatten
|
|
Information Event on HIDA Researcher Grants
|
|
Introduction to Shell + Git + GitLab
|
|
First Steps in Python
|
|
Software Carpentry (Shell, Git, R for Reproducible Scientific Analysis)
|
|
Data Science Colloquium | Prof. Noé | “Deep Learning for Molecular Physics"
|
|
HIDA Lecture @ HIDSS4Health
|
|
Introduction to parallel programming with MPI and OpenMP
|
|
Data Carpentry: Genomics
|
|
ML@Hereon Episode 39: "Extreme Events, Modest Models"
|
|
63rd Helmholtz Open Science Online Seminar
|
|
Introduction to R & Statistical Models with R
|
|
Infosession for Helmholtz Scientists - Become a Host for the HIDA Research Grants
|
|
RDA Deutschland Tagung 2022
|
|
Data Science Jobs for Health @ Helmholtz
|
|
Graphics with R
|
|
ML@Hereon Episode 40: "Foiled Again?"
|
|
DLR OpenSearch Colloquium: Information Extraction and Entity Linking for Semantic Web Search
|
|
2. Helmholtz Open Science Forum: Forschungssoftware
|
|
Science Communication - Write Your Own Blog
|
|
Introduction to Shell + Git + GitLab
|
|
ML@Hereon Episode 41: "Futureproof your training data"
|
|
Data Carpentry: Ecology with Python
|
|
Reproducibility for Matter Research - Reproducibility in Research by R4E
|
|
Reproducibility for Matter Research - Foundation of Research Software Publication
|
|
Introduction to Statistics
|
|
Mixed Models
|
|
64th Online Seminar: OpenAlex
|
|
RMarkdown
|
|
Multivariate Statistics
|
|
Introduction to R
|
|
Graphics with R
|
|
Introduction to Statistics
|
|
Multivariate Statistics
|
|
RMarkdown
|
|
Helmholtz AI Virtual Roadshow
|
|
HMC FAIR Friday in coop. with HIDA
|
|
ML@Hereon Episode 42: Paint-by-numbers - Connect the little dots to forecast weather
|
|
Helmholtz Open Science Forum: Open Science und Transfer
|
|
Introduction to Python (3)
|
|
Analyzing and Visualizing Geospatial Data with MATLAB
|
|
Data Science with MATLAB
|
|
Software Development Practices with MATLAB
|
|
Fundamentals of scientific metadata - why context matters
|
|
Mixed Models
|
|
Version control using Git and RStudio
|
|
Imaging - From Organisms to Molecules
|
|
HMC FAIR Friday in coop. with HIDA
|
|
Statistical Models with R
|
|
Imaging - From Organisms to Molecules
|
|
Imaging - From Organisms to Molecules
|
|
Imaging - From Organisms to Molecules
|
|
Imaging - From Organisms to Molecules
|
|
Imaging - From Organisms to Molecules
|
|
Imaging - From Organisms to Molecules
|
|
First Steps in Python
|
|
HIDA Lectures @ HEIBRiDS: Title: "The Data Donation Project - How wearable sensors can help in dealing with the COVID-19 crisis"
|
|
Helmholtz AI Conference 2022
|
|
Helmholtz Imaging Conference 2022
|
|
ML@Hereon: Episode 45 "Data-driven discovery of Governing Equations"
|
|
Data Science Colloquium on Aprilr 21st, 2021 | “Statistical Challenges in Protein Dynamics Modelling”
|
|
Helmholtz AI CountMeIn Challenge
|
|
ML@Hereon: Episode 46 "Mapping to the Windows"
|
|
HMC FAIR Friday in coop. with HIDA
|
|
EU Reform Research Assessment
|
|
Helmholtz Entrepreneurs – From Idea to I Did
|
|
Incubator Summer Academy - From Zero to Hero
|
|
Applying Data Science
|
|
Enabling reproducibility in data science - learn why it matters and how you can do it
|
|
Introduction to OOP in Python
|
|
Continuous Integration in GitLab
|
|
MLE School 2022
|
|
TEACH 2 - Open Up!
|
|
HMC FAIR Friday in coop. with HIDA
|
|
First steps in Python
|
|
Visual Communication of Science
|
|
Continuous Integration in GitLab
|
|
AI, Neuroscience and Hardware: From Neural to Artificial Systems and Back Again
|
|
Data Science Colloquium on June 23rd, 2022 | HIDA Lectures @ DASHH | “Leveraging AI for Science"
|
|
A Crash Course on Semantics and Knowledge Representation
|
|
Enterprise Data Landscapes: Data Lakes and Data Marketplaces
|
|
Dimension-reduction and data visualisation; applications and challenges in single-cell biology
|
|
Carpentries Workshop on Genomics
|
|
HMC FAIR Friday in coop. with HIDA
|
|
Incubator Summer Academy: Introduction to Python
|
|
Incubator Summer Academy: Introduction to Git
|
|
Incubator Summer Academy: Sharing Scientific Software Solutions Across Tools and Domains with Helmholtz Imaging Solutions
|
|
Incubator Summer Academy: Reproducible Data Science
|
|
Incubator Summer Academy: Introduction to Gitlab
|
|
Incubator Summer Academy: Data Science with Python (Pandas)
|
|
Incubator Summer Academy: Fundamentals of Scientific Metadata
|
|
Incubator Summer Academy: Data Challenge
|
|
Incubator Summer Academy: HIDA Networking event
|
|
ML@Hereon: Episode 49 "Recovering Ancient History"
|
|
Survival Analysis
|
|
Incubator Summer Academy: Helmholtz Career Corner
|
|
Incubator Summer Academy: Introduction to Interpretable Machine Learning
|
|
Incubator Summer Academy: Introduction to GitLab CI
|
|
Incubator Summer Academy: Visualization with Python (matplotlib)
|
|
Incubator Summer Academy: Machine Learning-Based Biomedical Image Analysis
|
|
Incubator Summer Academy: Introduction to Machine Learning
|
|
Incubator Summer Academy: Introduction to Napari
|
|
Incubator Summer Academy: Machine Learning for Instance Segmentation and Tracking
|
|
Incubator Summer Academy: Helmholtz Imaging for you!
|
|
Incubator Summer Academy: Introduction to Statistical Learning
|
|
Incubator Summer Academy: Foundations of Research Software Publication
|
|
Incubator Summer Academy: Helmholtz Entrepreneurs: From Idea to I did
|
|
Incubator Summer Academy: Imaging Metadata
|
|
Incubator Summer Academy: Introduction to Deep Learning
|
|
Incubator Summer Academy: Introduction to Statistical Learning
|
|
2nd AI-Hero Hackathon on Energy Efficient AI
|
|
Incubator Summer Academy: Opening session
|
|
Incubator Summer Academy: Introduction to Git
|
|
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)
|
|
RMarkdown
|
|
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
|
|
3. Helmholtz Open Science Forum: Forschungssoftware
|
|
Scientific Data Curation in Research Field Matter
|
|
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
|
|
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)
|
|
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
|
|
Reconstructing brain sources and their interactions from M/EEG recordings - Stefan Haufe (HEIBRiDS Lecture Series)
|
|
Becoming a Scientific Writer - Putting Why before How
|
|
Introduction to R
|
|
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
|
|
Multivariate Statistics 2
|
|
Introduction to OOP in Python
|
|
First Steps in Python
|
|
Foundations of Research Software Publication
|
|
Introduction to Git and GitLab
|
|
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
|
|
Generating Plots with Matplotlib
|
|
First Steps in Python
|
|
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
|
|
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
|
|
Test Event
|
|
Second Forum on Open Science and Transfer
|
|
Helmholtz 2024 GPU Hackathon
|
|
68th Helmholtz Open Science Online Seminar: Science Tracking
|
|
Software Carpentry Workshop (Shell, Git, Programming with R)
|
|
Survival Analysis - How to analyze time-to-event data
|
|
24th HiRSE Seminar - 'Best practice made easy: Deploying tools for FAIR research software development'.
|
|
Kickstart Shell & Git
|
|
Towards Open Digital Research Ecosystems – Interconnecting Infrastructures
|
|
Towards Open Digital Research Ecosystems – Interconnecting Infrastructures
|
|
RMarkdown
|
|
Multivariate Statistics 1
|
|
Multivariate Statistics 2
|
|
Mixed Models
|
|
Introduction to R
|
|
Introduction to Statistics
|
|
Graphics with R
|
|
Statistical Models with R
|
|
RMarkdown
|
|
Mixed Models
|
|
First Steps with Python
|
|
Kickstart Python
|
|
First Steps with Python
|
|
Kickstart R
|
|
First Steps with Python
|
|
Kickstart Shell & Git
|
|
Data processing with Pandas & Data plotting with Matplotlib
|
|
Data processing with Pandas & Data plotting with Matplotlib
|
|
Data processing with Pandas & Data plotting with Matplotlib
|
|
Data processing with Pandas & Data plotting with Matplotlib
|
|
Data processing with Pandas & Data plotting with Matplotlib
|
|
Kickstart Python
|
|
Kickstart Python
|
|
First Steps with Python
|
|
Kickstart Shell & Git
|
|
Kickstart R
|
|
HMC FAIR Friday: The eFAIRs project - Enhancing FAIRness in seismological data management with Dr. Angelo Stroll
|
|
25th HiRSE Seminar - What RSEs should know about software citation.
|
|
Introduction to Git and GitLab
|
|
Introduction to Git and GitLab
|
|
Introduction to Git and GitLab
|
|
Introduction to Git and GitLab
|
|
Foundations of Research Software Publication
|
|
Foundations of Research Software Publication
|
|
Continuous Integration (CI)
|
|
Continuous Integration (CI)
|
|
Continuous Integration (CI)
|
|
Analyzing and Visualizing Geospatial Data with MATLAB
|
|
Data Science with MATLAB
|
|
Clean Code Practices with MATLAB for Sustainable Research Software
|
|
Fundamentals of Scientific Metadata: Why Context Matters
|
|
Software Carpentry Workshop (Shell, Git, R for Reproducible Scientific Analysis )
|
|
26th HiRSE Seminar - JOSS: A journal for open source software that is an open source software project.
|
|
HIDA Lecture Series "AI and Large Language Models" - ChatGPT's Backgrounds: Exploring the World of Large Language Models
|
|
HIDA Lecture Series "AI and Large Language Models" - Ethical considerations on hate speech and AI
|
|
Object-Oriented Programming (OOP)
|
|
Object-Oriented Programming (OOP)
|
|
Object-Oriented Programming (OOP)
|
|
Object-Oriented Programming (OOP)
|
|
27th HiRSE Seminar - Dr Matthias Kiesselbach (DFG) - 'Research Assessment – the international reform discussions, and DFG‘s position'
|
|
Helmholtz Imaging Conference 2024
|
|
AI for Life Scientists: from Basics to Applications
|
|
HIDA Lecture Series "AI and Large Language Models" - Contextualizing LLMs – What are the social and ethical implications?
|
|
16th Data Science Colloquium | "Neural Approaches to Optimal Transport"
|
|
HMC FAIR Friday: HELIPORT & ALAMEDA: Two platforms to ease your reasearch project & metadata management life!
|
|
RSE Summer School 2024
|
|
69th Helmholtz Open Science Online Seminar - Open Hardware: Bringing scientific instruments back into the open science conversation
|
|
Fundamentals of scientific metadata: why context matters
|
