529 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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The Role This post holder will be responsible to develop next generation non-terrestrial networking (NTN) technologies and demos , including satellite, UAV-based edge computing, integrated sensing
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a
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than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
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The Role This post holder will be responsible to develop next generation non-terrestrial networking (NTN) technologies and demos, including satellite, UAV-based edge computing, inte grated sensing
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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at the University of Cambridge. We are looking for a motivated, independent, and talented scientist. The successful candidate will work with Prof. Chris Pickard to develop their own research programme within
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), Mr Jackson at the UoE Parallel Computing Centre (EPCC ), Prof. Smirnov from the South African Radio Astronomy Observatory (SARAO ), Dr Akiyama from MIT Haystack Observatory (Haystack ), Dr van Heeswijk
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programming skills and expertise with computational methods for neural/behavioural data analysis. You will have experience in conducting task-based functional neuroimaging and/or behavioural experiments, and
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strong track record of scientific publication and novel idea generation. You will have strong programming skills and expertise with computational methods for neural/behavioural data analysis. You will have