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date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations
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17 Oct 2025 Job Information Organisation/Company University of Oldenburg Department Faculty of Medicine and Health Sciences Research Field Medical sciences » Cancer research Researcher Profile
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project activities and writing reports Your Profile MSc or PhD in a relevant field Experience with Machine Learning modeling Coding experience, preferably Python Basic knowledge of databases tools and
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26200 ERC-funded postdoc position in Drosophila lipid metabolism (m/f/d) Stellenanzeige merken
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promote women in science and in leadership positions. We among others do this through our gender equality plan and the cascade model measures which we actively implement to enable sustainable equal
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for part-time work. The position is held at the Helmholtz Centre for Infection Research GmbH (HZI) in Braunschweig. The place of employment is Würzburg. For further information please contact Jun. Prof. Jens
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engineering, or a related discipline, with a clear and demonstrated focus on diabetes research. Experience with iPSC models and data analysis: Hands-on experience with induced pluripotent stem cell (iPSC
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
trigger neuronal stress and degeneration during aging. By integrating data across in vitro and in vivo models, we aim to uncover molecular mechanisms that can lead to novel avenues for interventions
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, you will develop efficient machine-learning models for fast, automated data processing and decision support, e.g. regarding the identification of adaptation needs. # You are expected to publish in peer