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position is the discovery of novel materials through combinatorial materials science and the optimization of their physical properties for solar energy conversion applications. In particular, material
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have the opportunity to travel to CERN for experiment building and beam tests for several weeks each year. The numerical simulation work will include modeling and optimization of beam optics, radiation
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envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will build on and extend the existing infrastructure at the Department
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related to sample fabrication, oxide growth, and optical characterization, as well as fabrication of test structures. Relevant tasks may be a combination of: Optimization of SiO2 growth process on SiC
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research team that aims to develop novel digital twin solutions that help us make the world a better place to live by understanding and potentially tackling how pandemics evolve and how to optimize
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to optimally infer surface fluxes across the landscape. The work will build on and extend the existing infrastructure at the Department of Geosciences, including mobile flux towers and drone-based observing
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of test structures. Relevant tasks may be a combination of: Optimization of SiO2 growth process on SiC Characterization of SiO2-SiC interface Optical characterization of quantum emitters at SiO2-SiC
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the world a better place to live by understanding and potentially tackling how pandemics evolve and how to optimize vaccination strategies globally. We offer an attractive salary and benefits package as
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for several weeks each year. The numerical simulation work will include modeling and optimization of beam optics, radiation transport simulation for predicting dose distributions using Geant4, and plasma
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of the C4Bat project is aimed to develop sustainable materials for Na-ion batteries. The PhD Research Fellow will work on development, synthesis, optimization and advanced characterization of anode materials