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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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. - Programming and Workflow Automation: Proficiency in writing Python and Shell scripts to automate modeling and analysis processes. Ability to efficiently manage large amounts of data and configure robust
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in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data
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About the lab The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states
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Information Work Location(s) Number of offers available1Company/InstituteCharité – Universitätsmedizin BerlinCountryGermany Contact Website https://www.ralser.group/g/ STATUS: EXPIRED X (formerly Twitter
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19 Sep 2026 Job Information Organisation/Company CNRS Department Institut NEEL Research Field Physics Physics » Solid state physics Physics » Surface physics Researcher Profile Recognised Researcher
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19 Sep 2026 Job Information Organisation/Company CNRS Department Géosciences Environnement Toulouse Research Field Chemistry Biological sciences Pharmacological sciences Researcher Profile First
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Background in machine learning or deep learning methods, including Graph Neural Network (GNN) Experience with Large Language Models (LLMs) applied to biological data collection, extraction, and standardization
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concordance and adverse health outcomes using large -scale healthcare datasets. Working collaboratively with clinicians, researchers, patient partners and data specialists to ensure scientific quality and
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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal