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part of PPPL's international collaboration with CEA, France. The final goal will be modeling self consistently plasma and impurity transport in the edge of a magnetic fusion device, tokamaks and
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at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect
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Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive
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vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization
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until the time of signing the contract. Activity Outline: Development of methodologies for the numerical simulation of partial differential equation systems based on neural networks, with particular
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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statistical inference Familiarity with random simulations Demonstrated interest in the dynamics of biological systems Essential Functions: Conduct mathematical, computational, and statistical analyses of models
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, modeling, and simulation of electrical power systems for railway and road mobility considering their impact on electric transmission and distribution grids, with particular attention to the integration
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- Research Internal Number: A-180117-11 General Description Salary: $62,232 - $62,232 a year The primary work for this fellowship will be in the area of bariatric interventions in a large animal model and
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