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, Applied Mathematics, or a related field. Strong foundation in computational modelling & numerical simulations The laboratory The Decision and Bayesian Computation (DBC) – Epiméthée (EPI) laboratory
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innovative research utilizing wet-lab techniques, 3D models, and extracellular vesicles to advance our understanding of drug resistance in melanoma. Your responsibilities: Conduct wet-lab research in melanoma
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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, pharmacology, biomedicine or related fields Demonstrated expertise in computational modelling Experience with molecular dynamics Interest in interdisciplinary science Experience in working on High-Performance