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Field
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on the application under CV/Resume or upon answering the questionnaire you may attach the documents. Qualifications Required Education Ph.D. in Mechanical/Civil Engineering, Applied Mathematics, Theoretical Physics
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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techniques in interfacial science; and mathematical techniques and computer programming for data analysis. Considerable skill in working interactively and productively in a multidisciplinary environment Good
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graduate students, as well as recent graduates, from Minority Serving Institutions (MSIs) pursuing degrees in science, engineering, technology, mathematics, and other disciplines that that align with NNSA's
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background in at least one of the following areas: Biomedical Engineering, Biomedical Informatics, Biostatistics, Computer Science, Electrical and Computer Engineering, Mathematics, or a related field. The
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, Mathematics, Physics, or a closely related field. Proficiency in machine learning libraries (e.g, scikit-learn, PyTorch, and transformers) and data analysis tools (e.g., pandas, NumPy, and CuPy). Hands
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 19-Aug-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal Number: 6480939 Postdoctoral Research Associate About the Opportunity The Postdoc will be working on...
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Princeton University, Program in Applied and Computational Mathematics Position ID: 639 -PDRA1 [#24843, PACM2025] Position Title: Position Type: Postdoctoral Position Location: Princeton, New
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years ) Ph.D. in Engineering, Operations, Computer Science, Mathematics or a related field. Knowledge of optimization, power systems operations and planning, electricity markets, issues surrounding
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defended their dissertation prior to the start date) with a background in water resources (not necessarily from Civil Engineering). A background in applied mathematics, field methodologies in unconsolidated