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machine learning, to accelerate material development, optimize device design, and enable data-driven predictions of material behavior. Organic electronics and device modeling: Model properties and
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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application! The position The principal research engineer will lead independent research projects focused on the integration and analysis of multi-omics data from clinical and population cohorts. Using data
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, particularly MIMO radar, and wave propagation channel modelling is highly desirable. We place particular emphasis on your ability to apply an interdisciplinary approach to problem-solving or your willingness
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consist of the following: Mathematical analysis of ecological and eco-evolutionary models, involving pencil-and-paper calculations; Computer simulations of more complex models which do not easily lend
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information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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of this WASP-financed project is machine learning, in particular dealing with generative models and instabilities associated with cycles of retraining on mixtures of human and machine-generated data
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are combined within analyses in this subproject. The PhD project is part of the subproject ‘A Novel Model for Policy-Work.’ The specific research question is open to be formulated by the PhD student in dialogue