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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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optimization algorithms. The candidate should possess a PhD in Electrical and Computer Engineering, Mathematics, Computer Science, or equivalent. Position Type Research Additional Information Northeastern
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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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does not extend beyond two years. MINIMUM QUALIFICATIONS Must have a Ph.D. or equivalent in Mathematics and/or Physics; interest in conducting research in high energy theory; be able to undertake
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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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) Train and supervise graduate students. 4) Laboratory management. Qualifications: A recent Ph.D. in computer science, network science, complex systems, statistics, applied mathematics, or related fields
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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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affiliation with an academic department commensurate with background and expertise. The MOBS Lab’s research is aimed at developing innovative mathematical models and computational tools to better characterize