41 machine-learning "The University of Edinburgh" Postdoctoral positions at University of Oxford in United Kingdom
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to 2 years in the first instance. You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and
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imaging brain function that uses the new technology of Optically Pumped Magnetometers (OPMs). You will primarily help develop and apply new machine learning methods for analysing data from the OPM-MEG
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We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine
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imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
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, acoustic detection and identification of insects allows us to expand the coverage of biodiversity monitoring in the UK. We are seeking a Postdoctoral Research Assistant to help refine existing machine
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on combining theoretical and computational approaches (including machine learning) to understand fundamental aspects of collective cell behaviours. Examples of topics studied in the Baker group include
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Machine Learning, within the Department of Engineering Science The full-time post is funded by the Innovation and Technology Commission and is fixed-term for up to 12 months, with the possibility
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understanding of the set-up and “muscle memory”. You will develop scalable and autonomous calibration frameworks to optimise quantum device performance. Machine-learning based algorithms will then make
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, machine learning, numerical analysis, optimization, scientific computing and their applications, to work within established research programmes. They will have excellent communication skills, including
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(DataAcq) project. This is a timely project developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related