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additives) for non-aqueous aprotic sodium ion battery electrolytes with increased safety You determine the physicochemical (e.g., water content, viscosity, etc.) thermal (TGA, DSC) and safety related (SET
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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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feedback control, you will uncover fundamental connections between physical dynamics and neural network representations. We seek a highly motivated PhD candidate with an excellent master’s degree in physics
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doctoral studies. Ready for Your Career Get prepared for your career inside or outside academia and gain insights into various professional fields. Build your future network with GRADE. Personal Coaching
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling
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as observed in the deep ocean and help unravel how life emerged on earth. Requirements As a suitable candidate, you have an outstanding Master's degree or comparable degree in physics or a related
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12.10.2021, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes”. For our team, we are looking for a
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 3 months ago
structure-property relationships of an industrially important class of porous materials, namely zeolites. In a joint project with the group of Prof. Dieter Bathen (Institute of Thermal Process Engineering at
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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take place, beginning in the low-thermal region and extending to the upper temperature limit for life (110-120°C). 2. Dynamics and transport processes of the lithosphere This priority focuses