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positive self-motivated and flexible approach to work as well as excellent computer skills are essential. Experience working in a large organisation and/or in higher education would be desirable. The post is
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‘omics’. The post holder will join a group of researchers working across the fields of pathology, machine learning / computer vision, bioinformatics and spatial biology. Background: The quantitative
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. You will be highly organised, computer literate, and be able to deal with competing deadlines. You should be comfortable communicating clearly with students, have a willingness to work collaboratively
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at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 15 July 2025. Interviews will take place on 23 or 24 July. The interview will be followed by a computer-based task.
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experience, with strong communication and interpersonal skills. You will also have excellent computer skills and attention to detail. The post is full time (although part time considered) and fixed term for 2
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proficient in working with a range of computer-based and online applications, including website content management systems and you will have excellent research and analytical skills, including the ability
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methodological and biological factors—such as the choice of substitution models, site saturation, and the role of selection, mutation, and recombination—that shape evolutionary rate estimates. A key goal is to
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for collaborating sites and prepare trial specific instructions. You will also oversee data entry on the computer database (assisted by a Data Entry Clerk) and perform regular systematic checks of information held
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projects. Contribute to PA/QA estimates for future project bids. Line management and development of other group members where appropriate. The successful applicant must be educated to degree or higher in a
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workshops or fabrication facilities. You must also have experience in high technology research and development and Experience of Computer Numerical Controlled machining. You must also have experience in