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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
Area of research: Scientific / postdoctoral posts Starting date: 01.07.2025 Job description: Postdoc (f/m/d): Machine Learning for Materials Modeling With cutting-edge research in the fields
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 2 days ago
-Institute for Plasma Physics in Greifswald offers within the division Stellarator Reactor Studies a PostDoc-position for a Physicist or Engineer (m/f/d) for the development of computational models
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, progression, and target engagement; which directly feed into our large-scale longitudinal datasets. The PhD/PostDoc project. You will be integrated in several translational projects as the lead person to model
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)confinement in string-net models - Quantum field theory, lattice QCD To apply, please send your application via email with the title “PostDoc application” or “PhD application” to application@zachegroup.com
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The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.08.2025 for a Postdoctoral position in coastal ocean modeling in the Department of Physical
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (posted 2025/02/13) Position Description: Position Description The TUM School
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Job posting (PHY 03/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.08.2025 for a Postdoctoral position in marine ecosystem modeling in
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The department Ecosystem Modeling studies new hypotheses on key processes of the human-driven transformation of marine ecosystems. The department Hydrodynamics and Data Assimilation develops