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Field
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, applied mathematics. - A strong background in theoretical mechanics and applied mathematics, with an expertise in artificial intelligence. Expertise in design, social sciences or humanities are a plus; - A
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dissertation project on or substantial publication in some topic in philosophy of science. Scholars working in all areas of philosophy of science, inclusive of philosophical approaches to logic and mathematics
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Science, Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, Biomedical Engineering, or a related field. Experience with a deep learning framework like PyTorch. Strong
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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remain open until September 30th , 2026. PhD in Biostatistics, Statistics, Data Science, Statistical Science, Applied Mathematics or related field. Faculty Criminal Background Check Prospective Employee
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imagery). Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal
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interdisciplinary areas including but not limited to Computer Science, Mathematics, Linguistics, Politics, and Psychology. We welcome researchers across a wide range of domains who will contribute to the creative
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environmental trade-offs. Contribute to projects involving capacity expansion, production cost modeling, and equilibrium modeling of power systems. Design and apply mathematical optimization models, including
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cse-lab.harvard.edu . Basic Qualifications: Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics
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; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply online, please visit https