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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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10 Mar 2026 Job Information Organisation/Company Imperial College London Department Department of Materials Research Field Engineering » Materials engineering Researcher Profile First Stage
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European partners in a transnational network, implementing a multidisciplinary and intersectorial research and training programme between the academic and industrial partners, to research the self
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-year Research Associate or Research Assistant post in Computational Modelling of Cardiac Diffusion Tensor Imaging is available to further these methods. This project forms part of a BHF and EPSRC funded
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Control Science and Engineering, Process Control, Mechanical Engineering, Chemical Engineering, Computer Science, or a related field. In-depth research
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contribution and personal growth. You will play a central role in advancing clinical data infrastructure, data harmonisation, and integrative data science research, particularly at the interface between data
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technology, education and training, surgical science, Health Policy, Design and Innovation for healthcare, Safety and Quality, and Antimicrobial Resistance (AMR). Key responsibilities in associated Hospital
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, chemical, biological or computational science, an interest in theoretical modelling and curiosity about engineering complex biological and biochemical systems. The opportunity to study for a PhD at a world
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to conserve hospital resources. You will work with a team of AI experts and cardiologists to refine the model, based on the NIHR Health Informatics Collaborative large dataset, particularly on imputation
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, and collaborative projects. You should have a masters degree or equivalent in Neuroscience, Computer Science, Mathematics, Biomedical Engineering, or a related discipline with a focus on machine