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Details Posted: 04-Jun-24 Location: Boston, Massachusetts Type: Full-time Salary: Open Categories: Academic/Faculty Mathematics/Statistics Internal Number: 5303762 Zelevinsky Postdoctoral Fellow
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expected to have strong machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https
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machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https://imani.lab.northeastern.edu
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/project.html Minimum Qualifications: Ph.D. in Operations Research, Applied Mathematics, Statistics or related. Solid background in stochastic process, simulation, ML, mathematic statistical methods, and
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, Computer Science, Applied Mathematics, Statistics or related. Solid background in ML, mathematics, statistical methods, and understanding of biomanufacturing process. Experience in doing research in a multi
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About the Opportunity Job Summary The Department of Mathematics invites applications for Zelevinsky Postdoctoral Fellows (ZPF) for the Fall semester of 2024. The Zelevinsky Postdoctoral Fellow
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opportunities for interdisciplinary collaboration, including colleagues in the Department of Physics, the Department of Mathematics, the Khoury College of Computer Science, and the Boston-area Institute
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physics, applied mathematics, complex systems or network science, and collaborations with industry, government, and local communities, we seek not only to advance the understanding of the temporal dynamics
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum materials and devices. The initial appointments will be for one year, with the possibility of...
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new applications. Qualifications: Must have a PhD or equivalent in engineering or mathematics. Must be able to undertake full-time research and scholarship. Must be able to work in collaborative multi