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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Particles Research Group at the Department of Engineering Science (based at the Osney Thermofluids
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of a collaborative team, led by Dr Sarah Morgan at the School of Biomedical Engineering and Imaging Sciences. The School is a world leading centre of expertise in AI for healthcare, providing
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positions, funded by the Engineering and Physical Sciences Research Council (EPSRC). The starting date of these positions is flexible. The successful candidate will be part of a research group with
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process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification
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About the role We are seeking to fill one position to undertake directed research activity as part of an EU project called FRAME (A Model-Based Foundry for Engineering, Adapting, and Assuring
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& Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning through Stochastic Control (a brief description of each these is as follows (additional details
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chemistry, chemical engineering, pharmacy or pharmaceutical sciences Close to submission of PhD (for appointment at Assistant level which will be automatically upgraded to Associate once on the PhD passlist
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Engineering, based at the Old Road Campus in Headington. The full-time post is funded by UKRI and is fixed term for 24 months. About you You will be working in a small highly motivated inter-disciplinary team
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Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative
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focuses on the development of next-generation materials for specialised engineering environments. Bringing together expertise in materials science, polymer engineering and civil engineering, the research