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Field
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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. Ideal candidates should possess a strong background and experience in computational modeling of solid-solid, liquid-solid, and gas-solid interfaces using first principles methods, classical force fields
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, solid state transformer, DC/DC converters, inverters, etc. Experience in modeling and stability analysis Experience in hardware development or real-time simulation. Awareness of diversity and equal
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random access memories. This project aims to develop models of the magnetisation switching process that can explain experimental results provided by collaborators. As such the position will involve
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, and goal-oriented working style with a strong commitment to solving complex technical challenges Practical experience with fiber optics, vacuum technology, cryogenics, finite-element simulations (FEM
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performance through iterative design-test-feedback cycles. Participate in the design and simulation of photonic devices and integrated circuits using state-of-the-art modeling tools. Support the development
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. Joining the School of Natural Sciences , you will be involved in constructing a first complete atomic model and conducting large-scale Molecular Dynamics (MD) simulations of the yeast kinetochore
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goals. Our other research directions of interest include privacy of AI models trained on health data as well as training AI models on health data across national borders. Key responsibilities Design
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with analytical modeling, reduced-order models, numerical simulation, finite element methods, optimization, or statistical-mechanics-based approaches. Proficiency in one or more programming languages or
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 13 days ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing