227 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" research jobs at University of Oxford
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Please be informed that we have amended the information under “How to Apply” in the Job Description. Applications are invited for a Postdoctoral Research Assistant: Black Hole Outflows. We seek
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essential. Informal enquiries may be addressed to Dr. Yangchen Pan: yangchen.pan@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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on the separate document. If you would like to discuss the post, please contact the Faculty Board Chair, Prof. Mark Edwards (mark.edwards@theology.ox.ac.uk) or the Regent of Blackfriars Hall, Rev Dr John O’Connor
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schools, reporting to the Principal Investigator Dr Caitlin Murray and Co-Investigator Dr Julia Badger. The post holder is a member of a research group with responsibility for the provision of research
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We have a new and exciting Postdoctoral Research Assistant position available within the CRC-STARS spatial biology team, analysing and interpreting spatial transcriptomic data. You will work on the
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cancer. This project will explore the role of tumour-associated macrophages (TAMs) in determining therapeutic responses to immunotherapy, with a focus on tumour immunity. The project is led by Dr Keaton
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We are seeking to appoint a Postdoctoral Researcher in Immunology to join the group of Dr Yi-Ling Chen based in the CAMS Oxford Institute. The study will focus on discovering lipid antigens and
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About the role The Department of Biology is seeking to recruit a Postdoctoral Research Assistant to work under the supervision of Dr Laura Moody. The post is funded by the Royal Society for one year
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this role. You will contribute to the design of research materials and make arrangements for data gathering, including data from interviews and surveys, while analysing and presenting qualitative and
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operando data related to battery degradation and safety. You will develop and implement advanced deep learning models to analyse multi-modal operando data from accelerated stress testing, with the aim