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, highly motivated researchers that both enjoy working in a team but capable of working independently. They should be keen to utilize eclectic theories and methods, develop new theoretical perspectives while
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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Universität Düsseldorf, Physics Position ID: Universität Düsseldorf -Physics -PD [#28569] Position Title: Position Type: Postdoctoral Position Location: Düsseldorf, Nordrhein-Westfalen 40225, Germany [map ] Subject Areas: Physics / Cold Atom Physics , Atomic, Molecular, and Optical Physics ,...
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new understanding, capabilities and innovation, while inspiring and providing broad training to the next...
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of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected to be in the upper segment
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interpersonal skills with the ability to work with patients, members of the public, and present as a representative of the lab at national and international scientific events • Demonstrate strong mathematical
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(e.g., PhD, EdD) in education or other relevant discipline and demonstrate excellence in teaching and mentorship at the graduate level. Experience and expertise in health professions education theory and
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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Science, Statistics, Applied Mathematics, or a related field. • Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and
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