350 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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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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postdocs can be found on the Departments website: http://www.sociology.cam.ac.uk The role is available as a Research Assistant or Research Associate. Appointment at Research Associate level is dependent upon
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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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for preparing meetings related to the expertise area * *To also be assessed via interview How to apply Candidates should submit applications via https://apply.kcl.ac.uk and select the History Research MPhil/PhD
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to work in the UK. The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits
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together leading researchers from Oxford, Cambridge, UCL, and Glasgow to develop next-generation brain stimulation and modulation systems. We are looking for a Postdoctoral Research Assistant in
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/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/application-process The
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Skills Centre. The programme will cover all aspects of the role and will be delivered through in-house training, as well as block/day-release or other learning methods provided. You will complete a Level
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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