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device-level properties of amorphous graphene nanoribbons and related structures. This will provide a bridge between atomistic material modelling and experimentally measurable device characteristics
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(1-2) Applicants with expertise in one or more of the following areas are encouraged to apply: * Foundation Models * Agentic AI * Reinforcement Learning * Medical Image Analysis Position 2: Intelligent
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interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering
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Physics, Applied Mathematics, or a closely related field (completed by start date) Skills Strong background in quantum mechanics Experience with computational modeling, numerical simulation, or scientific
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AI-driven decision making. It will be conducted in collaboration with the Automatic Control group (from Department of Electrical Engineering) and the Mathematical Optimization group (from Department
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Position Description Post-doc position (1,5 years) at University of Dubrovnik, within Conduction (Optimal control and model reduction for evolution and data driven problems) project and aligned
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-dependent uncertainty, convex optimization, and combinatorial optimization. The postdoctoral researcher will have the opportunity to develop new mathematical models, reformulation techniques, and algorithms
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, Department of Psychological & Brain Sciences Job #JPF03136 Psychological and Brain Sciences / College of Letters & Science - Mathematical, Life, and Physical Sciences / UC Santa Barbara Position overview
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, mathematics, computer science, engineering or a related discipline Required Other None Additional Preferred Experience working in one of the following areas: Machine learning/predictive modeling