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Field
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at the Department of Biomedical Engineering at Rutgers University (New Brunswick, NJ) is led by Dr. Valerie Tutwiler and utilizes multidisciplinary approaches to tackle fundamental questions related to understanding
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data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on
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Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with
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by Summer 2026 or postdocs in quantitative fields such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics Analytical problem-solvers with
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control under high inverter-based resources (IBRs). • Develop and apply artificial intelligence (AI)/machine learning (ML) techniques for power system planning, operation, control, and cybersecurity
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for a full-time, time-limited, 12-month, non-tenure track Research Assistant/Associate/Full Scientist, in the area of nonlinear and adaptive control. Initial appointment is for one year, with
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Distinguished Researchers (DR), in both the Senior and Junior category. The preferred starting date for the position is January 2026, with some flexibility between November 2025 and March 2026. We are looking
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collaboratively with the existing biostatistical team on data management, quality control, and reproducible analytic pipelines for large and complex datasets, including clinical and laboratory data. Contribute
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thermal systems. Experience on thermal system performance and technoeconomic analysis. Familiar with laboratory works, testing instrumentation, and software such as LabView for data acquisition and control
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for a Director's Postdoctoral Fellowship or Distinguished (Feynman/Oppenheimer) Postdoctoral Fellowship. Exceptional candidates will be considered for early career staff. Los Alamos is an equal