161 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Oxford
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Oxfordshire City Oxford Website https://www.psy.ox.ac.uk https://www.ox.ac.uk/ Street South Parks Road Postal Code OX1 3EL E-Mail hr@psy.ox.ac.uk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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, Physical and Life Sciences Division at Oxford may be found at www.medsci.ox.ac.uk/departments and www.mpls.ox.ac.uk/departments https://www.humanities.ox.ac.uk/faculties-and-units-0 and https
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a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five
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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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showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent childcare services including five University nurseries as
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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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posts in Oxford. Further particulars, which include details of the application procedure, can be obtained from the University website (https://www.jobs.ox.ac.uk/). Enquiries about the post should be
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each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions
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application. In your supporting statement, please explain how you meet each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https
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Microbiology (MMM) Unit at the John Radcliffe Hospital in Oxford. (https://www.expmedndm.ox.ac.uk/mmm). The postholder will lead on developing and undertaking workflows to phenotypically characterise bacterial