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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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shortlists of promising molecules with quantitative estimates and uncertainty ranges; and close iteration with experimental partners to validate predictions and refine models. The position also includes
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. Experience in one/several of the following areas is desirable: clean room manufacturing, measurement of electronic transport in cryogenic conditions, handling of colloidal nanocrystals. You don't have to be
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs