465 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Oxford
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meetings, c) analyse archival information and documentation including strategic plans, governance documents, media reports, and policy communications. The postholder will conduct fieldwork across Ghana
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that relevant information is made available, collected and reported in a timely manner. The postholder will be expected to organise their work in collaboration with the rest of the divisional REF team, to bring
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cancer studies and trials which seek to utilise advanced information systems technologies to streamline research participation and study all those effected by cancer in their communities. You will lead the
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, decision-making, or other higher cognitive processes and experience of designing behavioural tasks and analysing behavioural data is also required. You will be able to demonstrate knowledge
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: aidong.yang@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Monday 16 February 2026 can be
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appropriate. You will also have oversight of data entry on the trials databases and perform regular systematic checks of information held on the databases as required. Resolve contradictory or incorrect data
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the job description. Click here for information and advice on writing an effective Supporting Statement. Diversity Committed to equality and valuing diversity. To discuss the post in more detail, please
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of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss the post in more detail, please contact Professor Daniela
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, and a panel interview. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically
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We are seeking to appoint a Postdoctoral Research Scientist to join Professor Miles Carroll’s team, a group that works at the intersection of field epidemiology, laboratory science, and data