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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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, 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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global academic and industry network🌟 Who we’re looking for:- A curious, ambitious researcher with a strong background in signal processing, wireless systems, mathematics (statistics, linear algebra
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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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and their by-products. o Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. 2. Optimization of Industrial Processes: o Utilize nuclear
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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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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modelling framework that can serve as a digital twin of the manufacturing process allowing for a faster and more precise optimization trough virtual engineering.You will work within a research team comprising
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- and Q-band EPR spectrometer. The candidate will be responsible for designing, building, and optimizing instrumentation and methods to investigate complex catalytic systems — including both synthetic and
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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