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Field
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molecular/condensed matter physics) and the developments on new tools in perturbation theory and in computational methods (gradient flow), including quantum computing. We look for ambitious candidates with a
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heating networks in combination with heat pumps. To design and operate these systems effectively, advanced simulation tools are essential for analyzing their thermal and hydraulic performance. In
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation
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skills, it is recommended to attend a German language course before the start (or during the initial stage) of the doctoral programme in Saarbrücken. Programme duration 6 semesters Beginning Only
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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holography, combined with ultra-fast laser excitation and ultra-short electron pulses, to monitor carrier dynamics. The goal is to identify and map regions of high quantum efficiency as well as recombination
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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analyzing biomedical data, especially time series data • Experience in the field of high-performance computing • Knowledge of validation and documentation of AI systems, especially in healthcare • Strong
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abroad International comparisons and thematic reference to the international context Special promotion / funding of the programme IMPRS Course-specific, integrated German language courses No Course
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research in the area of entrepreneurship and family enterprise while participating in the doctoral program. TUM School of Management at TUM Campus Heilbronn invites applications for a Research Associate (m/f