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expected to provide outstanding education, supervise bachelor, master and PhD level students. Candidates for this position must have a solid education that enables them to teach within (at least one
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and Python); Ability to work productively both independently and as part of an interdisciplinary team. An interest and willingness for learning new methods and technologies in a fast moving and highly
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. You will also work closely together with course teams to develop data generation, data analysis, modeling, simulation, and machine learning workflows as well as develop custom data science-related
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value theory, non- and semiparametric statistics, missing data problems, causal inference, graphical models, event history analysis, benchmarking, spatio-temporal modelling, machine learning, and
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activities, which span a diverse range of advanced electronic systems. These include FPGA and neuromorphic computing, edge AI, machine learning, sensing technologies, and energy harvesting—key components