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. RESPONSIBILITIES: Implementing laboratory and computational workflows for large-scale biological studies Collecting experimental and high-throughput data Characterisation of molecular and cellular mechanisms
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, including panel regression, analysis of large administrative data, survey data, and statistical programming in Stata/R/etc; excellent oral and written communication skills in English; a commitment to academic
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and other stakeholders - knowledge-driven and application-inspired. To strengthen the Department Data Science in Bioeconomy, we are looking for Two Student Research Assistants (m/f/d) (40-80h per month
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scenarios and perform large-scale simulations Evaluate profitability and utilization of flexible assets in the day-ahead market Assess system-level impacts and derive insights for future market design Your
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on HPC clusters for large-scale hierarchical tomography apply algorithms to experimental tomographic data collaborate closely with beamline scientists and project partners publish and present results in
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The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
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with large-scale data construction and empirical research • Programming skills (R, Stata, or Python) Applications should be sent by e-mail, together with significant documents, indicating the reference
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-in-a-lifetime opportunity, a chance for us to bring together unique expertise in analytics, big data, AI, and digitalization. The TUM Campus Heilbronn is an open, flexible organization whose goal is to
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modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
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12.02.2026 Application deadline : 15.03.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers a position as Research Data Steward