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Keen to push the frontiers of multiphase reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us
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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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We are seeking to appoint a Research Fellow to contribute to NTU’s mission of advancing cutting-edge research and industry translation in software engineering and cybersecurity. The successful
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models for the design of electrolysers. Perform AI-Driven design of novel flow fields for PCECs. Draft and submit high-impact journal publications based on the novel findings of the research Prepare patent
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of Aeronautics, collaborating with experts in DNS/LES, dynamical systems, and data‑driven modelling. Hands‑on experience with high‑performance computing, advanced numerical methods, and ensemble‑based optimisation
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motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity
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The AI4X Postdoctoral Fellowship supports outstanding early-career researchers who leverage Artificial Intelligence (AI) to accelerate breakthroughs across science, technology, engineering, and
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system models (EGS/AGS) and associated heat extraction performance. Model and assess geothermal-driven cooling configurations, including absorption chillers and geothermal-assisted heat pumps. Integrate
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AI/ML models for predicting materials properties using data-driven approaches, including the treatment of disordered inorganic materials. Develop codes as necessary to assist existing and new code
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting