702 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at University of Oxford
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loans Application process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. The closing date for applications is
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. These activities are designed to promote physical and mental wellbeing among staff members. Please visit our website to find out more about the Department. About you You will have a scientific degree in a relevant
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an advantage. Application process Applications for this vacancy are to be made online via the link below. For your online application, you will be required to upload your curriculum vitae and a supporting
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developing advanced statistical techniques in the analysis of these data would also be beneficial. The post-holder will have the opportunity to teach. Applicants should hold PhD in Physics, Astrophysics
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to meet deadlines. The post will be based in the Department of Chemistry, Chemistry Research Laboratory, 12 Mansfield Road, Oxford, OX1 3TA and is available as soon as possible. Application Process
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variety of social and sports clubs Application process Applications for this vacancy are to be made online. You will be required to upload a supporting statement addressing the selection criteria, your CV
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physiological systems and disease. The main duties of this post will be to undertake discovery science, secure external funding to prosecute an independent research programme and educate undergraduate and post
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variety of social and sports clubs Application process Only applications received by 12 midday on 13 January 2026 will be considered. Applications for this vacancy are to be made online. You will be
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The Oxford Sustainable Law Programme (SLP) is a world-leading multidisciplinary research centre operating at the intersection of law and sustainability. Founded by Thom Wetzer , the SLP is a joint
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will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability