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operation. During irradiation, numerous fission products are generated, which will affect the chemistry and properties of the fuel. Understanding and modelling the irradiated fuel chemistry and properties is
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provides education to students in the fields of physics, chemistry and biomedical sciences. It counts about 20 PI’s, 20 support staff and 70 PhD students and postdocs. The selection of the candidate will be
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silicon solar cells. We are looking for PostDoc to lead our efforts in the sustainability work packages covering life cycle assessment, supply and circularity evaluation for the PV technologies under
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. The data acquired with your chip(s) will be analyzed with machine-learning algorithms. You will collaborate with researchers and companies of various disciplines like chemistry, embedded systems, software
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Physics, Materials Science, Chemistry, or related field. Strong background in computational materials science, with DFT simulation expertise. Experience with DFT software (e.g., VASP, AMS, Quantum ATK
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enabling the realization of faster and more reliable electron imaging for the semiconductor industry. We are building a team of 7 PhDs and 3 Postdocs with a focus on one of the following research lines: 1
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of physics, chemistry and biomedical sciences. It counts about 20 PI’s, 20 support staff and 70 PhD students and postdocs. Are you interested in this vacancy? Please apply before 31-1-2024 via the application