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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international working environment in the city of Dresden, one of Germany’s most vibrant places. For TUD...
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international working environment in the city of Dresden, one of Germany’s most vibrant places. For TUD...
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international working environment in the city of Dresden, one of Germany’s most vibrant places. For...
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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both spoken and written is required The candidat must have a Master (M2) of data science, computer science, applied mathematics The position is available starting from October. Salary according
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. Responsibilities and qualifications The nature of this project suggests that you should have a strong interest in the mathematical and theoretical aspects of machine learning. A solid background in mathematics (e.g
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advantageous. Familiarity with mathematical modelling of power electronics circuits is also desirable. Funding Further information and other funding options . Informal Enquiries: s.neira@ed.ac.uk
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and competitions. The University of Bristol seeks an aspiring researcher with an engineering, physical sciences or mathematical background and an aptitude for practical implementation of cutting edge
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or diploma in physics, biophysics, applied mathematics, chemistry, or a relevant engineering discipline Strong motivation to study motility of microswimmers and develop computational models Good programming
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develop probabilistic guarantees that quantify uncertainty in human preference alignment while ensuring robustness against adversarial conditions. The ability to mathematically verify AI alignment has