371 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions at University of Oxford in United Kingdom
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the leadership of Principal Investigator Dr Andrew Siemion. Listen's interdisciplinary research has synergies with many of the department's research priorities, including exoplanet studies, machine learning
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biology/bioinformatics, statistics, machine learning or related field. You will have a strong track record of applying genetics-based, physicochemistry-based and structure-based computational or statistical
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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. What We Offer As an employer, we
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on “Active exploration of iridescence and gloss”. The ESR will join the EXPLORA consortium (https://explora-network.github.io/web/index.html ), which comprises 12 academic institutions across multiple European
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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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, Physical and Life Sciences Division at Oxford may be found at www.medsci.ox.ac.uk/departments and www.mpls.ox.ac.uk/departments https://www.humanities.ox.ac.uk/faculties-and-units-0 and https
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experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
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of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 17 April
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covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk
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. Applications are welcome from candidates with previous experience in academic and/or events administration, who are able to demonstrate a sufficient level of computer literacy, good communication skills and an