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Microscopy data analysis: machine learning and the BioImage Archive
31 March - 4 April 2025
Online
Machine learning Bioimaging Image analysis Bioimage analysis Machine learning models Scientific computing Light microscopy Electron microscopy -
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Machine Learning for Life Sciences
9 - 13 June 2025
Uppsala, Sweden
Face-to-face
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LLMs in bioinformatics Q&A session
16 April 2025 @ 09:00 - 17:00
Online
Machine learning InterPro RNAcentral CancerModels.Org Open Targets Platform Protein Data Bank in Europe LLMs -
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Domain-specific knowledge extraction from scientific texts using LLMs
2 April 2025 @ 09:00 - 17:00
Online
Machine learning -
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BioChatter and the future of LLM driven bioscience
26 March 2025 @ 09:00 - 17:00
Online
Machine learning -
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Large Language Models and their applications in Bioinformatics
26 February - 16 April 2025
Online
Machine learning InterPro RNAcentral Protein Data Bank in Europe Open Targets Platform CancerModels.Org LLMs -
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Introduction to Machine Learning with Python
26 May 2025 @ 09:00 - 17:00
Online
data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
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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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Summer School Machine Learning and AI
24 - 29 August 2025
Diest, Belgium, Switzerland
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Principles of Machine Learning (IN-PERSON)
1 April 2025 @ 08:30 - 16:30
Cambridge, United Kingdom
Face-to-face
HDRUK -
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Introduction to Biostatistics and Machine Learning
7 - 11 April 2025
Uppsala, Sweden
Face-to-face
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Statistics and Machine Learning for Life Sciences
3 - 4 April 2025
Online
training biostatistics data mining machine learning torsten schwede & thierry sengstag group -
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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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Computational genomics course for hands-on data analysis 2025 - Machine Learning for Genomics
1 February - 31 March 2025
Online
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Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2025
19 - 23 May 2025
Aussois, France
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Using Large Language Models for Biodata Exploration: From Theory to Practice
19 May 2025 @ 09:00 - 17:00
Lausanne, 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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Data science for life scientists
16 - 20 June 2025
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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hands-on tutorial
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Machine learning
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Machine Learning & BioStatistics Hackathon 2020
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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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carpentries-incubator/machine-learning-novice-python
Machine learning Statistics and probability Statistics
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sib-swiss/statistics-and-machine-learning-training
Machine learning Statistics and probability Statistics
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instillai/TensorFlow-Course
Machine learning
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Machine learning
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Machine learning
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Machine learning
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Machine learning
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Machine learning
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Machine learning
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Machine learning
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Clustering in Machine Learning
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Age prediction using machine learning
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Machine learning: classification and regression
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Machine learning Python
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mlr-org/mlr3book
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Machine learning General
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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 -
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