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environmental impact. By drawing on interdisciplinary expertise (spanning renewable energy engineering, power systems and energy market integration, stochastic multi-objective optimization, and data‐driven
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28th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy Apply for this job See advertisement UiB
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-driven surrogate models for real-time reconstruction and forward simulations. Create numerical algorithms for physics reconstruction using sparse data. Implement assimilation pipelines which integrate
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The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU), Singapore, is a leading school for Sustainable Built Environment. The School plays an integral role
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Technology, Department of Safety, Economics, and Planning. The PhD fellowship leads to a doctoral degree and gives you the opportunity to develop research expertise in an active and stimulating academic
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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, this specific fellowship moves beyond technical engineering to investigate the broader social implications and ethical challenges associated with implementing cardiovascular digital twin technologies in
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches