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Practical machine learning with spatial data
10 - 12 December 2025
Online
Artificial Intelligence High Performance Computing for Companies LUMI Supercomputer -
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Applied Unsupervised Machine Learning (IN-PERSON)
17 - 20 October 2025
Cambridge, United Kingdom
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Summer School Machine Learning and AI
24 - 29 August 2025
Diest, Belgium, Switzerland
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Introduction to Machine Learning with Python
2 - 3 October 2025
Basel, Switzerland
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data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
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Applied Unsupervised Machine Learning (ONLINE LIVE TRAINING)
27 November - 3 December 2025
Cambridge, United Kingdom
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HDRUK -
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Microscopy data analysis: machine learning and the BioImage Archive
16 - 20 March 2026
Online
Bioimage analysis Machine learning models Scientific computing Light microscopy Electron microscopy -
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Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics
17 November 2025 @ 09:00 - 17:00
Online
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Using Large Language Models for Biodata Exploration: From Theory to Practice
30 September 2025 @ 09:00 - 17:00
Zürich, Switzerland
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machine learning mark ibberson group training -
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Data science for life scientists
15 - 19 June 2026
United Kingdom
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Data science Python Data visualisation Statistics Machine learning
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aml4td/website
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Introduction to Machine Learning Algorithms
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Machine Learning & BioStatistics Hackathon 2020
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Age prediction using machine learning
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Machine learning
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science: November 2024
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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