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Field
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PhD (within the last 0-5 years) in chemistry, physics, chemical engineering, or a closely related field A strong foundation in quantum mechanics and electronic structure theory Demonstrated expertise in
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written and oral form. Desired skills/knowledge: Experience with excited-state electronic-structure theory, nonadiabatic dynamics, surface hopping, path-integral methods. Experience with active learning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 15 hours ago
their field of study Engage with 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
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- OPEN TRANSPARENT MERIT-BASED RECRUITMENT Division of Dynamics is a multi-disciplinary research group focusing on application theory of dynamical systems to science and engineering. Main activities apart
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Position Description Postdoctoral Position in Random Matrix Theory and Related Fields The School of Mathematical Sciences at H.I.T. – Holon Institute of Technology (Israel) invites applications
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development in collaboration with a research team. Investigates the feasibility of applying a wide variety of scientific principles and theories to potential inventions and products. Maintains substantial
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Position Description Postdoctoral Position in Random Matrix Theory and Related Fields The Faculty of Sciences at H.I.T. – Holon Institute of Technology (Israel) invites applications for a
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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their unmet needs and thereby inspire the development of new methods and theories. Applying: Applicants should submit a cover letter, a curriculum vitae, and a research statement. The cover letter should
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern