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on an industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate
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conditions. The successful candidate will have (or soon have) a PhD degree (or soon to have), or equivalent qualifications or experience relevant to atmospheric chemistry. Experience in laboratory atmospheric
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
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exactly these values. To make sense of this conundrum, we need to shift away from researching democratic attitudes as a choice between alternative normative models of democracy, such as representative
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• PhD in Chemistry, Materials Science, Chemical Engineering, Physics, or a related discipline. • Strong experimental research skills with a good publication record. • Experience in advanced
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modelling, immunometabolism, and regenerative medicine within a large, well‑funded collaborative programme. About you You will hold a PhD/DPhil or equivalent a relevant discipline along with: Strong hands
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Espen Eidum 30th September 2026 Languages English English English Faculty of Engineering Science and Technology PhD Fellow in AI-Automated Voltage Control for Future Distribution Networks Apply
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28th October 2026 Languages English English English PhD Research Fellow in Learning-based Control of Autonomous Robot Manipulation Apply for this job See advertisement About the position A fixed
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will focus on the acoel worm Hofstenia miamia, the laboratory model system studied in the Srivastava Lab. The research will combine lineage tracing, gene expression studies, chromatin profiling to ask