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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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Supervisor: Dr Qian Yang, Dr Rebecca Ford, Prof Ian Fisk Subject Area: Sensory Science Research Title: Understanding sweetness and flavour perception in frozen desserts Research Description: Sweet
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Supervisor: Dr Qian Yang, Dr Rebecca Ford, Prof Ian Fisk Subject Area: Sensory Science Research Title: Understanding sweetness and flavour perception in frozen desserts Research Description: Sweet
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work under the supervision of Prof. Stam Sotiropoulos and Prof. Markus Kaiser and their established teams (https://conilab.nottingham.ac.uk https://www.dynamic-connectome.org/ ) in using brain MRI and
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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We are looking for a researcher, whose expertise lies in Discontinuous Galerkin discretisations, compressible flows, Fortran, Python, to work with Luis Espath & Prof Paul Houston jointly with Space
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performance at interview. Project Description (EngD): EngD on Multi-Stage Simulation of Aerospace Out-of-Autoclave Composite Manufacture sponsored by GKN Aerospace (Supervised by Dr Mikhail Mateev and Prof
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research fellow within the Academic Unit, Mental Health and Clinical Neurosciences. As part of an MRC programme grant, the post holder will work under the supervision of Prof. Stam Sotiropoulos and Prof
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. Expect close collaboration with industrial experts and the opportunity to see your algorithms influence aerospace and other high-value manufacturing sectors. Funding and eligibility 3-year, full-time PhD