241 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 3 months 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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of Population Dynamics and Sustainable Well-Being, within the Department of Digital and Computational Demography, headed by MPIDR Director Emilio Zagheni. Digital and computational demography is a growing
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Join our team as a Early-Career PostDoc (m/f/d) in the research area of AI‑based modelling full-time (39.2 hr/week), fixed term for two years. Leibniz-IWT stands for research in the field of new
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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the project include mathematical derivation, analysis, and comparison of models, methods, and simulation approaches; rapid prototyping of new ideas in custom code; implementation of new models, methods, and
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://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Typical responsibilities you can expect: Development and analysis of new mathematical (PDE-)models for application-specific phenomena from
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-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies. Potential Ph.D. projects may focus on large language model (LLM) research. Ph.D
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. The Department of Mathematics and Computer Science, Hessain.AI research group “Artificial Intelligence – Deep Decision Support Systems”, led by Prof. Dr. Martin Becker, is currently accepting applications for a
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and