96 parallel-and-distributed-computing-phd research jobs at Pennsylvania State University
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and build computational interventional models for individuals. Required qualifications: MD or PhD (completed by start of employment) in computer science or behavioral science. A technical background is
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of physics beyond the Standard Model, using analytical and computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue
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), and 3) developing digital 3D atlases and various neuroinformatics tools. We utilize high-resolution 3D imaging tools (e.g., light sheet fluorescent microscopy) and computational approaches to examine
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, self-driven, collaborative, skilled young microscopist with a PhD in materials science, physics, chemistry, or a related field that has a thorough background in aberration-corrected scanning/transmission
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students. The required qualifications are: PhD degree in mathematics, science, engineering, or a related field by the start date. Extensive experience in one or more of the following areas: probabilistic
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows
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distribution system. Qualifications & Requirements: MS in Mechanical Engineering. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in
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and responsible undergraduate Research Assistant to support in-lab data collection for a computer-based behavioral study. This is a great opportunity for students interested in psychology, management
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electronics. Specifically, they will be setting up laser systems, including laser frequency stabilization setups based on atomic spectroscopy, frequency distribution setups based on acoust-optic modulators, and
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for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows, and deep learning. A Ph.D. in Statistics, Mathematics, CS/EE (with a focus on statistics/machine