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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on AI training algorithms. The role will focus
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mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can
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additive manufacturing. The role will focus on thermal field modelling, multi-physics numerical simulations, machine learning and process parameter optimization. We expect the candidate to use data-efficient
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select
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. The Successful candidate will support the ÉireOcean-TWIN project which aims to develop an AI-enhanced Digital Twin of marine and coastal systems. The successful candidate will undertake numerical modelling
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validation of multiscale numerical modeling techniques. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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characterization, and flow measurements; validate models and identify operating regimes. Develop numerical simulation, data-analysis, and machine-learning/automated rule-extraction workflows that integrate
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or interpolated. 6. Work Plan: The work plan to be developed during the scholarship is within the scope of the project tasks, including: a) Development of numerical comprehensive models applied to gasification and