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until an excellent fit is found. The successful candidate will develop and apply computational approaches to biochemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus
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About the Opportunity Postdoctoral Research Associate – Human Data Interaction/Data Visualization – The Roux Institute, Portland, Maine We are currently seeking two postdoctoral research fellows
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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emphasis on controlling coherent spin-spin interactions. In addition, the ideal candidate will develop new quantum sensing protocols leveraging coherent spin dynamics in high-field and low
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for the protein-membrane and protein-protein interactions required for the PA phosphatase function of catalyzing the dephosphorylation of PA to produce diacylglycerol. The ultimate goal is to identify effector
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and in vivo models. The prospective candidate will have opportunities to work within a highly interactive, multidisciplinary team. Preferences will be given to candidates who Have some relevant research
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intelligent autonomous systems operating under uncertainty, limited information, strategic human behavior, and complex multi-agent interactions. The postdoc will work at the intersection of control theory
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Intelligence (AI) ethics, law and policy in medical research, education, or clinical care, to complement our growing portfolio of AI related bioethics research. However, we will consider applications from
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consistently rank among the top engineering programs by US News and World Report. The Civil and Environmental Engineering Department of Carnegie Mellon University is seeking a Post-doctoral Researcher or
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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data