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simulations to analyze and optimize hemodynamic parameters in CAD-related applications. Collaborate with clinicians to translate simulation insights into practical solutions for cardiovascular health. Develop
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with good understanding of probability, statistics and optimization. * Proven expertise in the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with
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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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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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, machine learning and data analytics, multi-objective optimization, life cycle assessment (LCA), serious gaming, and other participatory research methodologies. Candidates should also demonstrate leadership
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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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with physicians to analyze patient scan data and optimize MR techniques to meet evolving clinical needs. 4. Managing technical implementation, optimizing scan protocols, and ensuring timely delivery and