515 parallel-and-distributed-computing positions at University of Oxford in United Kingdom
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the University of Oxford’s Department of Education, is expanding with two exciting opportunities which will help the Centre step up its programme of academic research. The Centre produces research and evidence
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. The purpose is to develop the image of the College as a community which offers a stimulating intellectual environment with a distinctive and inclusive programme of enjoyable events and to burnish its identity
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a key role in supporting the delivery of the prestigious Novo Nordisk – Oxford Fellowship Programme, which funds outstanding early-career researchers in diabetes, metabolism and related fields through
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for administering the second year of the University’s Clinical Medicine programme, which is Year 5 of the standard 6-year Medicine programme and Year 3 of the 4-year Graduate-entry Medicine programme
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We have a new and exciting opportunity for a Postdoctoral Research Scientist to join the Pandemic Science Institute’s (PSI) growing efforts in computational vaccinology and vaccine trial design. You
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Astrophoria Foundation Year Programme: Classics Subject Lead The Astrophoria Foundation Year (AFY) Programme seeks to appoint a Classics Subject Lead to deliver the AFY Programme Humanities course
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immunofluorescence imaging. The successful candidate will support the design, optimisation, and analysis of multiplex panels to characterise the spatial distribution of immune and other cells within tumour tissues
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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skills, with an ability to maintain confidentiality as appropriate and to encourage a team-based approach to tasks. A high level of computer literacy with expertise in the use of spreadsheets and databases
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Medicine, Statistical Genetics, Bioinformatics, Computational Biology, or a related quantitative discipline. You will also demonstrate a proficiency in statistical programming using R and/or Python, with