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Field
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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studies. Develop, maintain, and optimize computational pipelines for the integration and analysis of multimodal molecular and clinical datasets, including data generated from patient tissue specimens and
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public health and social control measures (PHSMs) maximally reduced COVID-19 transmissions while causing fewer disruptions to the community and evaluating the optimal social policy designs in minimising
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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. The project focuses on developing sustainable and optimized processes for the purification of industrial acidic and complex aqueous media through the selective removal and recovery of impurities to enable
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will assess the viability of accelerated irradiation
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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, anatomical, locomotor, and other behavioral data using appropriate computational and statistical methods. 5. Develops and optimizes experimental approaches to identify spared and reorganized supraspinal and
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modeling and optimization for metasurface design, integrated with other optical components. Inverse design of optical components such as metasurface photonic-crystal unit cells or VCSELs. Collaborate