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research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art
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Science Foundation (NSF) grant entitled “RTG: Combinatorics, Geometry, Representation Theory, and Topology” at the University of Oregon. Applicants should be in research areas connected to one of these four
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 13 hours ago
new areas of basic and applied research Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; understanding of the potential career trajectories of postdocs in science and engineering; familiarity with career services’ online technology/management systems; knowledge of career development theory and the
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, while supporting the development of pathways and theories of change; develop reproducible analytical tools, workflows and monitoring and evaluation frameworks for repeated assessment across cases; Monitor
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. A well-qualified candidate for this position will also possess: Familiarity with QCD theory, heavy ion physics, Monte Carlo event generation techniques. Experience using and developing JETSCAPE event
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computational foundations of that capability and help bridge the gap between Bayes theory and practical application: knowledge integration, developing robust likelihood frameworks, sampler behavior for long
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Machine Learning Systems at MSU. We are seeking candidates in any area of research related to developing AI techniques, tools, scientific theories, as well as design and policy recommendations
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. Collaborate with neuroscientists from UC San Francisco Medical School, share results, and receive scientific inputs from them through weekly online meetings. Develop statistical theory to rigorously establish