664 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions in United Kingdom
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total value of > £ 4 million. He has published over 80 research articles, 8 patents and successfully supervised more than 30 PhD students. They are currently working on innovative approaches to non
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developing new optogenetic treatments for inherited retinal diseases. We are looking for highly qualified individual (PhD/DPhil) with outstanding academic credentials, who can work well under pressure and
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Computer Science, Optical Communication Engineering, or related field. Candidates at the PDRA level must have a PhD Degree in Computer Science, Optical Communication Engineering, or related topics. Applicants should
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participation in conferences and events. Desirable It is desirable that the candidate has a Masters or PhD in electronic engineering, computer science or equivalent Fluent in Python and Python Libraries: Scikit
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programme of work jointly delivered between University of Liverpool and Mersey care NHS Foundation Trust (MCFT) until December 2027. It will have wide reaching benefits to the region whilst raising
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at: About you Applicants must hold a PhD in Biochemistry, Chemical Biology, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. You will be
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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cells containing biological components. Find out more about the Langton research group here About you Applicants must hold a PhD in Chemistry, Chemical Biology or a related area (or be close to completion
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transmission at multiple scales’, working with researchers at the Universities of Manchester and Cambridge, and the London School of Hygiene and Tropical Medicine. The project will involve the analysis of whole
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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider