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of Prof. Georg Madsen, with regular shorter research stays at Aarhus University. The project combines density functional theory (DFT), machine-learned force fields and atomistic simulations to uncover how
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will closely follow the technological landscape in the field of potency and binding assays. Qualifications This is how you make a difference: You hold a PhD in molecular biology, biochemistry
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to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field, excellent experience and
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contribution of 1,000€ per month Bienvenüe+ training programme, Live in Brittany with high-level quality of life and get support for your arrival and during your stay ELIGIBILITY CRITERIA PhD degree holder
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and preferably a PhD in biology, biochemistry, or a related field, or a medical degree with a clinical-scientific background Training in (tissue) immunology or infectious diseases Expertise in
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me (adolescent focus)’
so that they remain informative and up to date. About You You will hold or be close to the completion of a PhD/DPhil/DClin or other professional doctorate degree, in a relevant subject area. You will
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models for the fire resistance of LSF walls, including the development of machine learning models, experimental testing, and numerical simulations, within the project “FireLSF – Development of Predictive
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well as the University of Colorado Boulder. Scientists from your group will join cross-institutional lab meetings and have the option to visit collaborators on-site to acquire new technical skills, if necessary. We have