278 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Postdoctoral positions in United Kingdom
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their surfaces. Machine learning methods are used to close the complexity gap. Currently, the group consists of three full professors, one associate professor, 6 postdocs and about 15 PhD and 7 master
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electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
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machine learning methods to model changes in the brain over the lifespan, including brain structure and function, and how those changes relate to environment and genomics. About the Role The post is funded
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, including exoplanet studies, machine learning, cutting-edge radio instrumentation and digital signal processing, citizen science, sky surveys, and studies of transient and variable objects. Listen is deeply
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visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect
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on the Vector Observatory project (https://www.malariagen.net/vobs/ ). Malaria continues to pose a major global health challenge, and mosquito vectors are central to transmission. The project addresses three
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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welcomes applications from all sectors of society, particularly from underrepresented groups. For more information, please see our website https://www.hw.ac.uk/uk/services/equality-diversity.htm and also
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apply, visit http://jobs.sgul.ac.uk . St George’s School of Health and Medical Sciences is committed to promoting equality, diversity and inclusion in all its activities, processes, and culture for our
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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game