191 phd-position-in-information-retrieval Postdoctoral positions at University of Oxford
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diverse audiences. The position is part time (up to 60% FTE) and fixed term until September 2027. The closing date for applications is noon on 20 June 2025. You will be required to upload a CV and
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179911 – Postdoctoral Research Assistant Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) Grade 7: £38,674 per annum This is a full time, fixed term position
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and sports clubs for those looking for more than just a great place to work. About you Applicants should hold (or be close to obtaining) a PhD/DPhil in a relevant field, with significant relevant
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will be required to upload a CV and supporting statement as part of your online application. The closing date for this position is 12:00 noon on Monday 16 June 2025. Interviews will take place on Monday
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. Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. The closing date for this position is 12:00 noon on 13 June
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hold or be close to completion of a relevant PhD/DPhil, together with experience of research on Tibetan History; experience and skills in the translation of classical Tibetan, as used in administrative
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of glycoprotein structural analysis using bottom-up mass spectrometry. The project will also include developing and applying applications in glycomics and native MS. Our goal is to characterise the structure
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About the role Applications are invited for the position of Postdoctoral Research Associate in the Synthesis of Porphyrin Arrays & Molecular Compasses to work under the supervision of Professor
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Applications are invited for a Postdoctoral Researcher in High-resolution Modelling of Aerosol-cloud interactions to assess Marine Cloud Brightening. This position is part of the are provided by
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning