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statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity, be process-oriented and able to work independently. Being able
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements Requirements PhD degree in in machine learning, automatic control, system identification, signal
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the command line. Background in structural biology, molecular modeling, protein dynamics, and understanding of ensembles. Have experience with large-scale computations on compute clusters, bonus points
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