Events Calendar

Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.


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Doctoral School in Medicine, Biomedical Science and Technology at Aalborg University

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Electrocardiography: Basic Physiology, Epidemiology, and Bedside

Welcome to: Electrocardiography: Basic Physiology, Epidemiology, and Bedside Organizers: Claus Graff, Prof., Aalborg University, email cgraff@hst.aau.dk Jonas L. Isaksen, PhD, University of Copenhagen Jørgen Kanters, Assoc. Prof., University of Copenhagen Christoffer Polcwiartek, MD PhD, Aalborg University Stefan Sattler, MD PhD, Gentofte University Hospital Lecturers:           Invited lecturers (see program here:  https://events.au.dk/electrocardiographybasicphysiologyepidemiologyandbedside/preliminary-program ) ECTS:                2.0 Dates:                21, […]

Fundamentals of Clinical Data Science (2024)

Aalborg University TBA Aalborg

Welcome to Fundamentals of Clinical Data Science PhD Program: Biomedicine (B) Description: Clinical data science can be defined as the scientific field, which turns healthcare data into clinically useful applications. This course will introduce the disciplines involved in the full value chain of clinical data science, covering the transformation of data to model and to applications, with […]

Big data – from raw data to data integration in clinical research projects (2024)

Aalborg University TBA Aalborg

Welcome to: Big data - from raw data to data integration in clinical research projects Program: Main CSLTM ·        Biomedicine (B) ·        Clinical and Pharmacological Medicine (CPM) ·        Clinical Science, Laboratory and Translational Medicine (CSLTM)  Description: Omics technologies including genomics, transcriptomics, epigenetics, proteomics and metabolomics are now key technologies in multiple fields of research and a highly active domain in health and […]