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week/ 50 %), initially limited to two years with possibility of continued employment. The successful candidate will be involved in operating, maintaining, and optimizing high-end imaging and spatial
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/simulation/optimization) Build prototypes and research software (clean, reproducible, well-documented) Work with simulation pipelines (e.g., FEM/CFD/physics engines) and industrial data Collaborate with
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
confined devices You have a background in modelling and/or (magnetic field) optimization You have experience with data analysis You can present scientific results in a concise manner and work
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service and an experienced social counseling team are available to assist you on site WORK-LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family-friendly company policy
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 4 days ago
for Simulation and Data Sciences. The work is to be conducted within the framework of the DFG-supported project “Simulation of Rare and Transient Events in Rarefied Gas Dynamics” and the research agenda is
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of metal ions and their influence on the action of antimicrobials, in particular antifungals. Project description: Our work focuses on studying the intersection of metal ions, catalysis, and metabolic
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, ideally with experience in generative models, reinforcement learning, or high-dimensional optimization. Programming proficiency in languages such as Python. Ability to work both independently and in a team
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. For cognitive abilities to evolve, performance must be linked to individual fitness benefits of behavioral decisions in contexts such as finding food, shelters and mating partners, raising offspring, and avoiding
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Future. Discover. Together. Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and
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science. We particularly encourage candidates with a strong economics background and interest in environmental and energy applications. The successful candidate will work on model development, scenario