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Field
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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invites applications for one a 1-year post-doctoral researcher, renewable up to 4 years, for interdisciplinary work applying tile-based programming abstractions to an adaptive mesh refinement computation
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and stronger professional network, and gain experience in mentorship and academic service. Position Number: RC1460 Anticipated Salary: $63,480 - $90,000 (based on qualifications and experience
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. This position is designed for scientists with strong computational and quantitative training who are interested in agent-based modeling, network science, infectious disease dynamics, uncertainty quantification
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, industry, federal agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine
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agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy, increase
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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, …). Some effort may be dedicated to finding a tensor network topology (tensor train, tree tensor network, …) allowing to optimally represent vector fields arising from turbulence simulations. Then, this
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methods with optimization and decision-support models. Background in one or more of the following: time-series analysis, neural networks, forecasting, uncertainty quantification, sensitivity analysis
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease