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thermal prediction across geometries, materials, and scales. Contribute to the development of generative modeling frameworks for structural design of thermal management systems. Support experimental
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markets and their transitions. This position will contribute to a research portfolio, with approximately 50% of effort focused on upstream oil and gas production modeling (supply-side analysis), and the
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throughout the doctoral education. Research topic The PhD Fellow will be affiliated with the project Optimization of Energy Transfer in Shallow Geothermal Wells. The goal is to develop knowledge, models, and
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-grade codebases, including data pipelines and analysis workflows. Developing and deploying AI agents and large language model–based tools for tasks such as document processing, information extraction
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between biomolecules, materials, and
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places applied research and technological innovation at the core of its academic model, with the ambition of positioning Africa-driven research at the global forefront and establishing itself as a
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Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional
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process models which will support the wider optimisation frameworks and system-level sustainability assessments to: Map and evaluate material, energy and resource supply chains. Integrate novel
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instrumentation, Near-real-time receptor modelling, Background sites The Research Group of Aerosol Chemistry and Physics focuses on better understanding the behaviour of atmospheric aerosols (AA). One of the areas