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Field
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of computer science, biology, physics, mathematics or a related field Programming skills in Python required (Numpy, Pandas, Scikit-learn, Pytorch) Hands-on experience in Deep Learning Demonstrated interest in working
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/doctoral-training-program-in-the-learning-sciences/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en
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Description at the Leibniz-Institut für Kristallzüchtung is looking for a PhD Student (m/f/d) for the topic: “Kinetic Monte Carlo Simulations for the Homoepitaxy of Ga2 O3 ” Ga2 O3 is a highly promising
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equivalent) in physics, computer science, mathematics, data science, computational science, and cognitive science Very good programming skills (e.g., in Python, C++, or comparable languages) Ideally, initial
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conferences and participation in project workshops in Wuppertal and Groningen (NL) Your Profile: Completed university degree (master`s or equivalent) in physics, computer science, mathematics, data science
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must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_la… ) LanguagesENGLISHLevelExcellent
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Your Job: In this PhD project, you will explore the stability and dynamic behaviour of inverter-based power systems, using state-of-the-art supercomputing infrastructure. You’ll work at the cutting
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Universität Berlin (Department of Biology, Chemistry, Pharmacy; Department of Mathematics and Computer Science) and Max Planck Institute for Molecular Genetics . You have: an above-average master's or
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positions) : the deadline depends on the respective advertised open positions. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No