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light harvesting to substrate/antibiotics transport through membrane pores. The Computational Physics and Biophysics Group is led by Prof. Ulrich Kleinekathöfer and is located at Constructor University
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning
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simulation of reactive fluids, computational fluid dynamics) We particularly encourage applications from candidates with a computational background. What we offer Cutting-edge research in a dynamic work
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profile Completed university studies (Master/Diploma) in the field of Physics (Computational-, Plasma Physics, Optics) or related field Mastery and use of the scientific method Experience in numerical
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dynamics of the Earth and planetary interiors using: Experimental petrology and geochemistry Mineral physics Computational high-pressure physics and mineralogy Isotope cosmochemistry and geochronology
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: university degree (Master or diploma) in physics, biology, computer science, or a related field excellent background in RDM principles and FAIR data practices, ideally gained in a scientific environment
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research and scientific exchange. To that end, we closely interact with experimental laboratories. You will: Develop, simulate, and analyze biophysical models of infection spreading and the inflammatory
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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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simulations [2] Applying the developed code to simulate proton transport in vesicular glutamate transporters Collaborating closely with an interdisciplinary team across quantum computing, molecular simulation
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, Flemisch 2020. DuMuˣ 3 - an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling. Computers & Mathematics with Applications. https://doi.org/10.1016