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) Collaboration with interdisciplinary teams to enhance model performance, adaptability, and usability within physics and materials science communities Publication and dissemination of research findings in
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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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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experience with multiscale modelling of materials - previous experience with molecular dynamics simulations Applications should be sent by e-mail, together with significant documents, indicating the reference
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 hour ago
. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 11 days ago
interaction for chemistry and materials. Overall, we aim to unravel and apply fundamental physical principles to create and control novel states of matter with light. For the ERC Synergy project “Unravelling
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consideration of energy (im)balance, radiative transport, entropy budgets and material cycles (of water, carbon etc.) development of Earth resilience metrics based on these principles to quantify planetary
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consideration of energy (im)balance, radiative transport, entropy budgets and material cycles (of water, carbon etc.) development of Earth resilience metrics based on these principles to quantify planetary