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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
clotting. We use a data-driven, interdisciplinary approach that blends our mathematical, computational, and statistical expertise with biology and biochemistry collaborations. We work with numerical and
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in electrical and computer engineering, including physics, mathematics, signal processing, and machine learning demonstrated by a relevant Ph.D. degree and a scholarly record. For more information on
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/equipment. If you have a PhD in Computer Science, Mathematics, Computing, or Engineering in topics related to artificial intelligence, or a related field., we invite you to apply for this impactful research
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interests aligned with areas of research in the department that include algebra, analysis, applied/computational mathematics, differential equations, mathematical physics, numerical analysis, representation
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, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves developing statistical methods, data analytic tools, and mathematical models
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on linking single‐cell computational properties to multicellular collective behaviors Collaborate closely with experimentalists to build a conceptual and mathematical framework Collaborate and bring your
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Berkeley Lab’s Applied Mathematics and Computational Research Division seeks an AI Focused Biochemistry Postdoctoral Fellow with expertise in AI and foundation models (e.g., LLMs) for knowledge
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and skills by teaching one course per year, with mentorship and support provided by Henry Scharf and the Department of Mathematics' postdoctoral program. The Postdoctoral Research Associate will also
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, computational sciences, or mathematics is preferred. The successful candidate will need to have completed all PhD requirements by their start date. Knowledge required includes machine learning and statistical
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proposals. Publish developed algorithms as software packages. What is Required: Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational Science, Chemical or Biochemical