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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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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD, MD, or MD/PhD (or foreign equivalent). At least one academic degree in the field of Mathematics, Physics
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at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
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SPECIFICS The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning January 2027. The successful candidate will work with Professor Leonid Berlyand
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a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
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optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
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position to work with Dr. Alexander Young on the development of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative
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well as theoretical and applied mathematics. (2) Developing new mathematical and statistical approaches to uncover the evolutionary forces acting on our genomes (3) Scientific research on the mechanisms behind AI, and
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within a Research Infrastructure? No Offer Description Applications are invited for a temporary post of a UCD Post-doctoral Research Fellow Level 1 within UCD School of Mathematics and Statistics
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candidates able to conceptualize and statistically or mathematically link processes occurring at different spatial or temporal scales, or across levels of ecological organization (e.g., upscaling of microbial