348 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Oxford in United Kingdom
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the Educational Media Services team. The role will entail working with colleagues in Educational Media Services (https://help.it.ox.ac.uk/media) to support the teaching and learning objectives of the University
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to complete an 18-month training programme that will cover all aspects of the role and will be delivered through in-house training, as well as distance learning methods delivered by Inspiro Learning. You will
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required to upload a 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
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throughout. Becoming an apprentice at the University of Oxford is an excellent opportunity to gain practical experience and training. For more information, please visit: https://www.apprenticeships.ox.ac.uk
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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working
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would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be sent to: recruit@ouce.ox.ac.uk The closing date
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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 Committed to equality and valuing diversity We
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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 12:00 midday
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre