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candidate with a strong background in computational fluid dynamics (CFD) and specialized expertise in hemodynamics associated with coronary artery disease (CAD). The ideal candidate will hold a PhD in
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feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization, execution efficiency, and live trading
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performance and use market behavior and feedback to improve and optimize profitability. Serving as a hybrid between traders and researchers, Quantitative Systematic Traders focus more on alpha monetization
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models and generate alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a
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alphas · Execution. Propose improvements or optimize existing strategies Evaluation. Backtest ideas using historical market data and large research clusters Education. Participate in a comprehensive
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applications from individuals with a PhD or equivalent in Engineering or Physics or a closely related discipline for a position at a rank of research assistant professor. Applicants should have experience with
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://careers.purdue.edu/job/Post-Doc-Research-Associate/34146-en_US/ Application reviews will begin on November 15th, 2024. Education The applicant should have: a PhD, or is expected to complete a PhD within a year, in
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on an individualized-level and development of methods to handle high intra-disease and inter-subject heterogeneity. The successful applicant will carry out a wide range of duties including developing, optimizing and
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) applications in the power grid. • Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python and/or Matlab
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of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization