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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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to science. This is the first large-scale study of its kind, and your results will establish a legacy of scientists working with funding councils to defend their research. Cutting-edge machine learning
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Applications are invited for a Postdoctoral Research Assistant in in laser-driven plasma accelerators. The post is available for a fixed-term until 31 May 2029. This project will focus on developing
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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Role: Postdoctoral Research Associate in Fluorescence Imaging of Surgical Tools Grade and Salary: Grade 7 - £37,694 - £47,389 Contract Type: Full Time (1FTE), Fixed Term (6 months - We welcome
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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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and motivated candidates for a postdoctoral positions working on cutting-edge research at the intersection of Machine Learning, Privacy-Enhancing Technologies, and Public Interest Technology. We
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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or Research Associate will work in close collaboration with the project team at the University of Manchester, consisting of PI Aristea Koukiadaki, Dr Riza Theresa Batista-Navarro, four more postdoctoral