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future is a thorough understanding and assessment of the thermo-physical properties (e.g melting temperature, heat capacity, density, viscosity, thermal conductivity) of the molten fuel salt during reactor
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sectors. To this aim, water electrolysis is the key technology enabling the conversion of (green) electricity into hydrogen. However, this pivotal process still suffers from low conversion efficiencies. One
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set
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ship propulsion (WASP) for transport, (2) design space exploration (DSE) techniques, and (3) multi-fidelity modeling (MFM) have enabled new opportunities for integrating the complex physics of WASPs
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understanding of the physical processes underlying the luminescence mechanism of the materials. One of the scientific challenges is to understand how generated electron-hole pairs can transfer their energy to
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complex fiber networks in the brain and other biological tissues. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy
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asynchrony, message delivery delays, and network or process faults. Ensuring the correctness and reliability of source code implementing blockchains and smart contracts is paramount, and this hinges
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Science & Technology, Nanoscience, Chemical Engineering, Radiation Science & Technology, and Engineering Physics. We are also training the next generation of high school teachers and science communicators
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microscopy experts to develop chemistry suitable for fluorescent imaging of highly dynamic materials. Experience with organic synthesis and photophysics is highly desirable and affinity for physics and