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EMODnet Chemistry 6 Training Course 2026 | (smr H729)
training past active in_person
Informatics Laboratory & UN Room (AGH) · Trieste, Italy
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EMODnet Chemistry 6 Training Course 2026 | (smr H729)
Tue, Apr 28, 2026
09:00 to Wed, Apr 29, 2026 17:00
Training · In_Person 16
ISMB 2026
conference upcoming active hybrid
Washington Hilton · Washington, D.C., United States of America
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The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the flagship meeting of the International Society for Computational Biology (ISCB). The 2026 meeting is the 34th ISMB conference, which has grown to become the world's largest bioinformatics and computational biology conference. ISMB 2026 will be the year's most important computational biology event! The principal focus of the ISMB conference is on the development and application of advanced computational methods to address biological problems, and it brings together researchers from computer science, bioinformatics, computational biology, molecular biology, mathematics, statistics, and related fields.
Sun, Jul 12, 2026
09:00 to Thu, Jul 16, 2026 17:00
Conference · Hybrid 25
ECCB 2026 - 25th European Conference on Computational Biology
conference upcoming active in_person
Geneva · Geneva, Switzerland
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The 25th European Conference on Computational Biology (ECCB 2026) will take place in Geneva from 31 August to 4 September 2026. Organized by the SIB Swiss Institute of Bioinformatics, the conference will explore advancements in genomics, structural bioinformatics, systems biology, biodiversity, and more under the theme 'Biodiversity, AI & Health: computational biology to address the challenges of our time'. The programme includes keynotes, proceedings, highlight talks, poster sessions, tutorials, workshops, and networking events.
Mon, Aug 31, 2026
00:00 to Fri, Sep 4, 2026 23:59
Conference · In_Person 23
Causality in biomedicine: going beyond associations | EMBL-EBI Training
training upcoming active in_person
Wellcome Genome Campus · Hinxton, United Kingdom
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This course provides an introduction to causal inference and causal representation learning, offering both theoretical foundations and hands-on training. You will learn how to apply these methodologies to various biomedical data types, including clinical, genotype-phenotype, molecular, and multimodal data.
Sun, Oct 4, 2026
09:00 to Thu, Oct 8, 2026 19:00
Training · In_Person 29