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Field
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developed as diagnostic tools or therapeutics for cancer. The successful candidate will plan and conduct cell-based studies, establish and optimise experimental models, perform and analyse microscopy and
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ingredients. The working group Molecular Modeling / Section III is looking for 1 post-doctoral fellow, to start on 01/12/2026 The position is to be filled for a period of 2 years. Research project Advancements
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/user behavior, Collect and analyze human performance data (reaction times, workload, situational awareness, eye tracking, etc.), Develop and validate computational models of human behavior in driving
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. The following experience will strengthen your application: industrial product development or manufacturing research modelling and simulation, digital twins or digital threads AI, machine learning
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modelling, geospatial data science, generative modelling, mobility data analysis, or transport simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban
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requires very long simulation times which may only be achieved using frugal numerical approaches or reduced-order models. Below are listed some possible activities of the successful candidate. Some of these
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on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoc project Atomistic modelling and synthesis
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 10 days ago
processing is required. Our research group utilizes ultra-high vacuum and cryogenic laboratory systems equipped with various radiation sources to simulate these extreme conditions, investigating gas-grain
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and
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materials using molecular simulation and artificial intelligence. The position will support startup-funded research in the Jiang Group focused on integrated modeling and machine learning for energy and