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of the project is to exploit such data to develop generative models for aptamer design. The candidate is expected to have a strong background in machine learning and statistical physics, with a real interest for
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, computer science, population biology or a similarly quantitative discipline.
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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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fellowship program aiming at attracting talented scientists to develop their two-year project in Breton laboratories. See full details here: https://bienvenue.bretagne.bzh/funding-opportunities/bienvenue
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