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Description The Division of Engineering, New York University Abu Dhabi, seeks to recruit a Post-Doctoral associate to work on Control Theory, Game Theory, and Autonomous Systems. The successful
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platforms Causal inference, natural experiments, panel-data methods, or quasi-experimental design Survey, online, laboratory, or field experiments involving human participants Network science, game theory
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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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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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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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include competitive salary and benefits. Research in Professor Hisham Sati’s group focuses on proper formulations of physical theories, with the development of the mathematical constructions that are needed
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Job related to staff position within a Research Infrastructure? No Offer Description Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in
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highly desirable. Experience with computational methods such as density functional theory calculations, geometry optimization, and prediction of NMR parameters will be considered an advantage
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theories, with the development of the mathematical constructions that are needed to provide such descriptions, and uncovering new geometric and topological structures arising from physical phenomena in high
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magic-angle spinning experiments, multinuclear NMR, quadrupolar nuclei, or two-dimensional NMR methods, is highly desirable. Experience with computational methods such as density functional theory