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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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machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical
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machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest ideas using historical
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, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest
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, statistical analysis, and machine learning techniques to predict market behavior and generate alphas Execution. Create strategies to execute on modelling ideas under simulated competition Evaluation. Backtest
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impactful energy research, we invite you to apply! Minimum Qualifications: PhD in a relevant field such as science or engineering and six (5) years of progressively responsible experience, or an equivalent
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Minimum Qualifications Candidates must have a PhD and proven research experience in computation analyses, statistics, mathematical modeling, or engineering. Prior experience in Ophthalmology research is not
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the area of electric power grids. Essential Duties and Responsibilities: • Perform cyber-physical system modeling and simulation for the power grid. • Perform research on power system dynamics and
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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
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PhD Degree and demonstrate the potential ability to perform the essential functions of the job as outlined in the position description. These include verifiable evidence of completing novel and