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phase transitions , Mesoscopic Physics , Non-equilibrium many-body theory Physics / Biology , Biological Physics , Biophysics , Biophysics/Soft Condensed Matter Theory , Condensed Matter Theory
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the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
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: Physics / Nuclear Theory , quantum information/computation Appl Deadline: none (offers accepted posted 2025/04/09) Position Description: Apply Position Description The Department of Physics
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have a Ph.D. and research experience in experimental high energy physics. The successful candidate is expected to carry out novel physics analyses in the area of effective fi eld theory, as
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topics include synthesis, material science, theory and modeling, device physics, nanotechnology, biotechnology and system design, and span the range from basic research to commercialization. LOE currently
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. Qualifications Applicants must hold a PhD degree in electrical/electronics engineering, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing
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, telecommunications or related field. Other requirements include: Strong background in communication theory, signal processing, wireless/optical communications, and communication system engineering Extensive experience
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easily use the setups. The researcher will use the set-ups to analyze the LCE precursor flow, also comparing with results from simulations and theory, and continuously revise and improve the equipment
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include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum