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Title	Date	Mode	Tags	Conflicts
RECOMB 2026 conference ongoing active in_person Thessaloniki Concert Hall · Thessaloniki, Greece More information 30th Annual International Conference on Research in Computational Molecular Biology. RECOMB 2026 is the 30th edition of a series of algorithmic computational biology conferences bridging the areas of computational, mathematical, statistical and biological sciences. The conference features keynote talks by preeminent scientists in life sciences, presentations of ground breaking research in computational biology, selected over the course of a highly-rigorous peer-review process, and poster sessions on the latest research progress. Audience: researchers faculty postdoctoral_researchers students postgraduates clinicians engineers Topics: bioinformatics mathematics statistics molecular_biology clinical_research epidemiology pharmacology Open full event page	Tue, May 26, 2026 00:00 to Fri, May 29, 2026 23:59	Conference · In_Person	bioinformatics mathematics statistics molecular_biology clinical_research epidemiology pharmacology researchers faculty postdoctoral_researchers students postgraduates clinicians engineers	27
4th Annual Conference of Advanced Quantitative Methods and Analytics for Public Policy Support (AQMAPPS) conference upcoming active in_person Tallinn · Tallinn, Estonia More information Conference on advanced quantitative methods and analytics for public policy support Audience: policy_makers researchers Topics: data_science policy statistics Open full event page	Tue, Sep 15, 2026 00:00 to Wed, Sep 16, 2026 00:00	Conference · In_Person	data_science policy statistics policy_makers researchers	16
Causality in biomedicine: going beyond associations \| EMBL-EBI Training training upcoming active in_person Wellcome Genome Campus · Hinxton, United Kingdom More information 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. Audience: researchers postdoctoral_researchers students postgraduates early_career clinicians data_scientists practitioners Topics: bioinformatics data_science machine_learning biomedical_engineering statistics biotechnology genomics molecular_biology clinical_research public_health Open full event page	Sun, Oct 4, 2026 09:00 to Thu, Oct 8, 2026 19:00	Training · In_Person	bioinformatics data_science machine_learning biomedical_engineering statistics biotechnology genomics molecular_biology clinical_research public_health researchers postdoctoral_researchers students postgraduates early_career clinicians data_scientists practitioners	29