151 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Oxford in United Kingdom
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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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, religion or belief, sex, or sexual orientation. 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
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travel and Season Ticket travel loans. All applications must include a CV, Supporting Statement/Cover Letter. For further guidance and support, please visit https://www.jobs.ox.ac.uk/how-to-apply. Any
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 7 January 2026
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 16 January 2026 It is anticipated that interviews will take place on 5 February 2026
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 16 January 2026 It is anticipated that interviews will
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. This will involve design and delivery of a genotype-to-phenotype database and the development of a new conceptual model for cross-scale emergence that depend on molecular, environmental, immunological, and
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Roberts and Professor Matthew Wood at the Institute of Development and Regenerative Medicine on the Old Road Campus. The Roberts/Wood Labs at the University of Oxford is seeking a highly motivated
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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-learning models based on first-principles data and apply these methods across increasingly complex structures and chemical systems. The role will involve both methodological development (datasets, models