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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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expertise in bioinformatics. The aim is to identify gene signatures predictive of therapy response and to discover novel therapeutic targets for reprogramming tumor-associated macrophages (TAMs)—immune cells
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering invites applications for a postdoctoral position in optimal motion planning and model predictive
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one or more of these subjects are valued: machine learning, automatic control, system identification, optimization, signal processing, filtering and smoothing, probabilistic modelling, dynamical systems
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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