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candidate will contribute to cutting-edge research in optimal control theory, differential game theory, mean-field game theory, and mean-field-type game theory, developing advanced mathematical frameworks and
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and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful
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Position Description Faculty Position Available Focus: Genetic Optimization and Trait Engineering for Potato Improvement School of Integrative Plant Science, Cornell University Position
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to scientific computing and other scientific domains. Candidates with strong backgrounds in stochastic analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas
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medical, dental, vision, flexible spending accounts, numerous paid holidays, vacation and sick leave. Tuition benefits include UIW tuition waivers, tuition exchange programs and Brainpower Connection
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and thermal-hydraulics analysis. Major Duties and Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP
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and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA, OpenMC, MCNP, Serpent
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the feedback loop for automated discovery. You will: Develop, apply, and deploy advanced software tools for numerical optimization, active learning, machine learning, and artificial intelligence tailored
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with demonstrated ability to implement and optimize AI/ML models for biomedical datasets. Preferred Knowledge, Skills and Abilities Mathematical Modeling: Strong foundation in numerical modeling, graph
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components requires precise operational constraints. This necessitates the development of optimized scenarios, capable of managing heat flow from the thermonuclear core to the divertor. Reliable numerical