352 engineering-computation-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
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technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them
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environmental and agricultural economics topics and methods. Faculty mentors for this program will include Ishan Nath , Anna Russo , Wolfram Schlenker , and Charles Taylor . An important goal of the fellowship is
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Structures: the formal study of mathematical proof itself, as a subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs
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analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
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regarding University funds. Use of the fellowship should not involve extended study in a formal program at an American or foreign university nor should it normally entail participation in a structured program
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provided that: they are able to be in residence at Harvard, all other aspects of their PhD program are complete, and their degree is expected in the 2026 calendar year. The position may be renewable for a
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productive investigation and experience in mental health, psychosocial program or intervention development and implementation are preferred. The position requires a person who has PhD in Clinical Social Work
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-seq and next generation long reads sequencing from Oxford Nanopore. · Participate in the development of new computational methods for downstream analysis of genomics data and multiomics
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for candidates interested in developmental, stem cell, neuro, computational biology, genetics or genomics. Basic Qualifications The candidate should have a PhD or plan to defend their PhD in the coming year
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. Some areas of particular interest include: genetics, evolutionary biology, neurobiology, developmental biology, and stem cell biology. Our lab uses both experimental and computational approaches