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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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(CFD) and density functional theory (DFT) forms a powerful in silico approach to understanding CVD at the atomic level, while kinetic Monte Carlo methods can be used to study the development of different
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Applicants must have: PhD degree obtained, doctoral thesis in Biology Completed postdoctoral training Excellent proficiency in English, both spoken and written Practical and theoretical experience in
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Grant which started on January 1st 2025. The research team is led by Dr. Karolin Obert and will include three postdoctoral researchers as well as administrative and technical staff. We are now looking for