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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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We are seeking a creative and highly motivated postdoctoral researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious
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Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences and should hold sufficient theoretical and practical
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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focus on the development of new theoretical frameworks, implementation of new methods in first principles computational modelling packages, and direct application to representative solid state systems
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Technology. Polymer; Solid Mechanics; Mechanics of Materials; Computational Mechanics; Statistical Mechanics
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and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in experimental or theoretical biology, bioinformatics, clinical medicine, or a related discipline and have
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the possibility of extension subject to funding. The UK Programme of Laser Inertial Fusion Technology for Energy (UPLiFT) is a 4 year £10M research programme funded by the UK government’s Department for Energy
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collaboratively with the Health Systems Collaborative at University of Oxford and the KEMRI-Wellcome Trust Research Programme (KWTRP) in Kenya. As a Postdoctoral Researcher, you will bring theoretical and practical
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mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline of theoretical mechanics, mathematical modelling, and numerical simulations of PDE to work within established