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Field
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experience working in one or more of the following areas: • Mathematical Control Theory • Optimization • Numerical Solutions of PDEs • Computation and Machine Learning and/or related topics. Candidates
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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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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 15 hours ago
underground natural gas storage operations in the U.S., and (3) optimize produced water disposal operations to maximize stored volumes. The faculty research fellow selected for this project will conduct
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well as numerical methods for partial differential equations, especially finite element methods, both theory and implementation. A successful candidate will work in the topics of interests, which include: (1) solid
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Metasurfaces: • Develop multilayered MSs using FDTD, RCWA, or inverse design methods to achieve broadband achromatic performance (400–700 nm). • Optimize MS geometries for high numerical aperture (NA), wide
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 8 days ago
and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
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selected by MedChem Australia. Your key responsibilities will be to: undertake research in lead candidate optimization publish research papers demonstrate research excellence assist with grant writing and
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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be