Search results
-
Workshops and courses
Machine learning and deep learning fundamentals
1 - 2 April 2026
Zwijnaarde, Belgium
Face-to-face
Artificial Inteligence programming software -
Workshops and courses
Bioimaging data analysis: from zero to machine learning hero
19 - 21 October 2026
Warsaw, Poland
Face-to-face
basic bioinformatics imaging -
Workshops and courses
Introduction to Machine Learning with Python
1 - 2 October 2026
Bern, Switzerland
Face-to-face
data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
Workshops and courses
Introduction to Machine Learning with R
12 - 13 November 2026
Basel, Switzerland
Face-to-face
-
Workshops and courses
Introduction to Machine Learning with Python
1 - 22 June 2026
Online
data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
Workshops and courses
Statistics and Machine Learning for Life Sciences
31 March - 1 April 2026
Online
training biostatistics data mining machine learning torsten schwede & thierry sengstag group -
Workshops and courses
Data-driven approaches to understanding dementia
13 - 17 April 2026
Online
Neurobiology Systems biology Machine learning Bioimaging -
Workshops and courses
Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics
17 November 2026 @ 09:00 - 17:00
Online
-
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 -
CIBB 2026 – Computational Intelligence Methods for Bioinformatics and Biostatistics
2 - 4 September 2026
Rome, Italy
Face-to-face
Bioinformatics Computational biology Machine learning Data architecture, analysis and design Statistics and probability Medical informatics bioinformatics Biostatistics computational intelligence Artificial Intelligence Machine Learning data science computational biology medical informatics life sciences -
Workshops and courses
EMBO Practical Course on Population Genomics: Background and tools
15 - 22 June 2026
Torre del greco, Italy
Face-to-face
Population genomics Evolutionary biology Machine learning Genetics -
Workshops and courses
Data science for life scientists
14 - 18 June 2027
United Kingdom
Face-to-face
Data science Python Data visualisation Statistics Machine learning -
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
-
aml4td/website
Machine learning R
-
cambiotraining/intro-machine-learning
Machine learning
-
Video
Introduction to Machine Learning Algorithms
•• intermediateMachine learning -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
JuliaAcademy/Foundations-of-Machine-Learning
Machine learning Julia
-
sdgroeve/Machine-Learning-Course-2days
Machine learning
-
slides
Introduction to Machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
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 -
sib-swiss/intermediate-machine-learning-training
Machine learning Python Data science
-
e-learning
Clustering in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Age prediction using 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 -
sib-swiss/intro-machine-learning-training
Machine learning Statistics and probability Statistics
-
carpentries-incubator/machine-learning-novice-sklearn
Machine learning Statistics and probability Statistics
-
carpentries-incubator/machine-learning-novice-python
Machine learning Statistics and probability Statistics
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science: November 2024
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science … -
exercise, slides, tutorial
Machine Learning
-
sib-swiss/statistics-and-machine-learning-training
Machine learning Statistics and probability Statistics
-
instillai/TensorFlow-Course
Machine learning
-
Yorko/mlcourse.ai
Machine learning
-
fastai/course-nlp
Machine learning
-
girafe-ai/ml-course
Machine learning
-
phlippe/uvadlc_notebooks
Machine learning
-
upb-lea/reinforcement_learning_course_materials
Machine learning
-
carpentries-incubator/ml4bio-workshop
Machine learning
-
philbowsher/Workshop-R-Tensorflow-Scientific-Computing
Machine learning
-
carpentries-incubator/data-science-ai-senior-researchers
Machine learning
-
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