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Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics
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on experimental thermo-mechanics and the reservoir modeling. Job requirements Need-to-haves: PhD in Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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, are considered. The participant will gain experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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of Solid-State Batteries will be hosted by the Department of Decision and Control Systems, EECS. The project will focus on the development of reduced-order electro-chemo-mechanical models, state estimation
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to industrial biotechnology. The successful candidate will investigate the cellular and molecular mechanisms underlying robustness in industrial yeast strains and translate this knowledge into rational strategies
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You will develop new theoretical methods for quantum sensing with mechanical systems, explore their use in tests of fundamental physics, and help build the research environment of a new theory group
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | 2 months ago
research on the large-scale experiment ASDEX Upgrade. This is a fusion plant of the world-famous tokamak type. As part of its early-career support programme, the Max Planck Institute for Plasma Physics (IPP
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techniques, including genetic algorithms, to optimize transducer architectures. 3, Develop computational mechanics workflows to predict material properties and guide the design of acoustic metamaterials