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Job no:523342 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences A highly technical postdoctoral engineering role focused on rock mechanics, modelling, and AI
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Interacting Urban Networks, New York University
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
Area of research: Scientific / postdoctoral posts Job description: Postdoc in "(Re)examining modelling" (d/f/m/x) (HIPP 27.3)BackgroundHIPP is the HIFMB Integrative Postdoc Pool and publishes a
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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Laboratory. You will be responsible for: Advancing numerical modelling methodologies for 3D woven composites Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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Laboratory. You will be responsible for: • Advancing numerical modelling methodologies for 3D woven composites • Designing and conducting high‑rate and impact experiments on 3D woven composite architectures
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regulatory networks in health and disease (m/f/d) Stellenanzeige merken Stellenanzeige teilen We are looking for an enthusiastic Postdoc/PhD to join our research group to study gene regulation in
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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Home EMA The European Magnetism Association Executive Board General Council Documents Membership EMA news Communication Social Networks Mailing Event Dissemination Rules All news EMA editorials
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing