206 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" research jobs at University of Oxford
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the molecular structural dynamics and embedded chiral information in redox-active polycyclic aromatic hydrocarbons influence the emergence of novel photoluminescent properties. While the majority of objectives
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contribute to publications and grant applications. Please see the below 'Job Description' for further details on the role, responsibilities, and selection criteria, as well as further information about the
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to Prof Daniel Eakins (daniel.eakins@eng.ox.ac.uk ). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 2nd
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work. Experience with data analysis, coding, or malaria immunology is desirable, but training will be provided where needed. This role suits someone who is motivated, curious, and ready to support a busy
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you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss the post in more detail, please
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. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing
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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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(email: Laurence.brassart@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on the 7th January
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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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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors