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System-on-Chip (SOC) Technologies provide an opportunity to underpin a number of capabilities for AI and related capabilities on platforms. This research, within the context of automotive systems, explores opportunities to design a high-performance RISC-V-based platform to support analytics and...
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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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Supervisors: Dr Daniel Lamport, Dr Piril Hepsomali and Dr Katie Barfoot Project Overview: Are you passionate about cutting-edge research in nutritional neuroscience, mental health and gut-brain
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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Are you looking to take your first steps towards a career in psychology and cognitive neuroscience? We are recruiting a new fully-funded PhD student to join Dr Daniel Yon’s Uncertainty Lab
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engineering, medical physics, image analysis, computational neuroscience or quantitative psychology is desirable. If you would like to work on a PhD project about biological understanding of human diseases and
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of Psychiatry, Psychology & Neuroscience (IoPPN) and the Department of Global Health and Social Medicine at King’s College London in collaboration with Black Thrive Global and two international partners in
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well as contributing to the day-to-day running of the lab. Candidates should hold a good BSc or MSc in Neuroscience, Cell Biology, Biomedical Science, Biochemistry, or a related discipline. Practical experience with
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Advert title: A randomised controlled trial into the effectiveness of the behavioural change and weight reduction programme via the Slimpod app: brain and psychological adaptations Project advert An
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this overall aim, the student will Employ computer programming methods to determine the occurrence of Alzheimer disease in obstructive sleep apnoea patients using previously collected clinical data and Perform