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10 Oct 2025 Job Information Organisation/Company CISPA Helmholtz Center for Information Security Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions
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26 Sep 2025 Job Information Organisation/Company Technische Universität Berlin Department History and Philosophy of Modern Science Research Field History » History of science Philosophy » Philosophy
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) of Heidelberg University, is offering a position as academic employee, part-time 80 % starting as soon as possible, initially limited to one year: Academic Researcher health and climate data analysis for EU
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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30 Sep 2025 Job Information Organisation/Company Uni Tuebingen Department Department of Computer Science Research Field All Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 14 hours ago
genomics Experience in handling large datasets, documentation and publication according to FAIR principles Strong skills in statistical analysis and data visualization Very good communication skills and
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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
. Evaluation of large datasets (big data), for example from health insurance companies or large corporations, in the context of health and prevention. Requirement profile: A relevant academic degree (e.g. in
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30 Sep 2025 Job Information Organisation/Company University of Tuebingen Research Field All Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA