363 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Oxford
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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 for applications is
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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 for applications is
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to https://www.jobs.ox.ac.uk/cv-and-supporting-statement for information and advice on writing an effective Supporting Statement. This role is full time (part time considered) and is fixed term for 2
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-disciplinary team supporting the Trials Delivery Framework within Dementias Platform UK ( https://www.dementiasplatform.uk ) with the delivery of the READ-OUT Programme. The READ-OUT Programme is a £4.5m project
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applying, please email Professor Fugger (lars.fugger@imm.ox.ac.uk). Further information regarding the research group of Professors Lars Fugger can be found at: https://www.imm.ox.ac.uk/research/research
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contribute to monitoring performance through reporting and analysis. You will also represent the Museum professionally in trade contexts, including promotional activity and trade events, and share learning and
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opening in March 2026. It will recruit 60 patients with Treatment Resistant Depression, who will have three research visits, involving computer tests focused on reward processing and collecting voice
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of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits For informal enquiries about the post, please contact Ellie Tzima – ellie.tzima
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Coordinator to join the Learning Delivery and Experience (Student and Academic Success) division within the innovative Oxford Saïd Online (OSO) team. OSO is the online education initiative of Saïd Business
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be released for a secondment before you submit an application https://hr.admin.ox.ac.uk/secondments Only applications received online by 12.00 midday (BST) on Tuesday 7 April 2026 can be considered