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Workshops and courses
Quantum Machine Learning
24 - 25 November 2025
Espoo, Finland
Face-to-face
Artificial Intelligence High Performance Computing High Performance Computing for Companies Quantum Computing Software -
Workshops and courses
Spring School - Interpretable Machine Learning Models in Biomedicine
2 - 6 March 2026
Altheim, Germany
Face-to-face
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Workshops and courses
Microscopy data analysis: machine learning and the BioImage Archive
16 - 20 March 2026
Online
Machine learning Bioimaging Image analysis Bioimage analysis Machine learning models Scientific computing Light microscopy Electron microscopy -
Workshops and courses
Data-driven approaches to understanding dementia
13 - 17 April 2026
United Kingdom
Face-to-face
Neurobiology Systems biology Machine learning Bioimaging -
Workshops and courses
Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics
17 November 2025 @ 09:00 - 17:00
Online
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Workshops and courses
Systems biology: from large datasets to biological insight
11 - 15 May 2026
United Kingdom
Face-to-face
Systems biology Network analysis Machine learning Deep learning Network inference Logic modelling Multi-Omics Factor Analysis Data integration -
Workshops and courses
Data science for life scientists
15 - 19 June 2026
United Kingdom
Face-to-face
Data science Python Data visualisation Statistics Machine learning
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aml4td/website
Machine learning R
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cambiotraining/intro-machine-learning
Machine learning
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Video
Introduction to Machine Learning Algorithms
•• intermediateMachine learning -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
sdgroeve/Machine-Learning-Course-2days
Machine learning
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JuliaAcademy/Foundations-of-Machine-Learning
Machine learning Julia
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sib-swiss/intermediate-machine-learning-training
Machine learning Python Data science
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e-learning
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
slides
Introduction to Machine learning
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e-learning
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
carpentries-incubator/machine-learning-novice-python
Machine learning Statistics and probability Statistics
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sib-swiss/intro-machine-learning-training
Machine learning Statistics and probability Statistics
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carpentries-incubator/machine-learning-novice-sklearn
Machine learning Statistics and probability Statistics
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e-learning
Clustering in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Age prediction using machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
sib-swiss/statistics-and-machine-learning-training
Machine learning Statistics and probability Statistics
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philbowsher/Workshop-R-Tensorflow-Scientific-Computing
Machine learning
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carpentries-incubator/ml4bio-workshop
Machine learning
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carpentries-incubator/data-science-ai-senior-researchers
Machine learning
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instillai/TensorFlow-Course
Machine learning
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Yorko/mlcourse.ai
Machine learning
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fastai/course-nlp
Machine learning
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girafe-ai/ml-course
Machine learning
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phlippe/uvadlc_notebooks
Machine learning
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upb-lea/reinforcement_learning_course_materials
Machine learning
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Recorded webinar
Identifying tumor cells at the single cell level through machine learning
Systems biology Machine learning
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Recorded webinar
Pangenomics and machine learning for crop improvement
Agricultural science Machine learning Genomics Genotype and phenotype
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proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675 -
Pattern Institute
Mission | The Pattern Institute is a nonprofit research organization dedicated to advancing scientific discovery, education, and outreach, with a particular emphasis on systems and complexity science. It applies mathematical and computational approaches to uncover patterns across the...
3 training materialsPattern Institute https://www.pattern.institute/training/ https://tess.elixir-europe.org/content_providers/pattern-institute **Mission** | The **Pattern Institute** is a nonprofit research organization dedicated to advancing scientific discovery, education, and outreach, with a particular emphasis on systems and complexity science. It applies mathematical and computational approaches to uncover patterns across the natural, formal, and social sciences. /system/content_providers/images/000/000/822/original/pi-logotype2.svg?1753360127 -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233