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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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opportunities in quantum science. We are also interested in optically manipulating collective properties of molecular crystals. Applicants should have a strong experimental background and a PhD in physics
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from
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facilities (reflectance point and imaging spectroscopy, FTIR, environmental analog chambers, etc.), support for external users of the lab through PRECISE, and science investigations utilizing the lab along
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, Physics , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum error correction , Quantum Field Theory , Quantum Information , Quantum Information Processing and Communication
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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Lashkari's research group for 2+1 years (renewed annually) with the third year extension conditioned on availability of funding. Qualifications Applicants must hold a PhD in physics or a related field by the
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. Qualifications Applicants must hold a PhD in physics or a related field by the time of appointment. Application Instructions To apply, please complete the application form on AcademicJobsOnline and submit
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/Cas9 gene editing Advanced imaging techniques Proteomics Biochemical and enzymatic assays Key Responsibilities and Learning Objectives Lead and contribute to interdisciplinary projects