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Requirements: Ph.D. in mathematics, applied mathematics, physics, computer science, engineering, or a related quantitative field. Strong knowledge of differential equations and applied mathematical modeling
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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Classification Title: RESEARCH ASSISTANT SCIENTIST Classification Minimum Requirements: Ph.D. in mathematics, electrical engineering, mechanical engineering, or a closely related field by the time
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discipline (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience
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; transcript; condensed transcript; written list of classes in economics, mathematics, statistics or computer science (including course name, date taken, school, and main textbook(s) used in the course); courses
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Industrial Engineering Economics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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, Pennsylvania 19004, United States of America [map ] Subject Areas: Mathematics Industrial Engineering Economics Management Science & Engineering Computer Science and Electrical Engineering (more...) Operations
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record of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering or related field at the start of
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technologists to push strategies into production What we're looking for PhDs graduating by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry