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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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and haptics feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have
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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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limited to brain imaging (broadly defined), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral
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the humanities and social sciences, as well as applicants with degrees in the natural sciences, business, engineering, computer science, health sciences, law, art, media, and design, who have demonstrated
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling
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calorimeter and new MTD, and the Level-1 trigger. Physics efforts include searches for physics beyond the standard model, di-Higgs boson studies, and precision electroweak and QCD measurements. The successful
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collaboration, and other quantum materials, and their modeling and simulation. Projects will include computational discovery of new quantum materials and optical materials and their heterogeneous structures
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real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have progressively responsible