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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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analysis. Yet, there is a need for a comprehensive computational framework that can better integrate the information derived from both experimental and computational analyses and help chemists analyse
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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can be found at the URL https://math.univ-cotedazur.fr/~ingremeau/PostdocNuHeMiBa.pdf We are looking for a candidate with a PhD in applied mathematics, with a strong focus on numerical analysis
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques
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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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mutant and transgenic reporter lines in zebrafish and mouse Participate in all the metabolomic and singe cell transcriptomic aspects of the study, from sample preparation to data analysis Perform
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for integration into diagnostic tools Preparing manuscripts for submission to both medical and machine learning journals Qualifications Candidate profile: Required: PhD in mathematics, statistics, data science