830 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at University of Oxford in United Kingdom
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services, and the University’s Student Welfare and Support Services. Alongside your support responsibilities, you will oversee the development and delivery of the College’s welfare strategy, welfare-related
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accept applications from applicants who can work term time only Outside of term time, the focus of the role will shift towards supporting outreach activities, graduate training programmes and other
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develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
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programmes. Working with the Education Manager and line-managing the Undergraduate Officer, Taught Postgraduate Degrees Officer and Research Degrees Officer, this post supports students and academic staff in
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development towards optimizing and understanding sonochemical nitrogen fixation to help advance our internationally leading programme of research. This work will also contribute towards building a case for a
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role An exciting opportunity has arisen for a highly organised HR Administrator to join the HR Team at the School of Archaeology. This role offers an excellent development opportunity for an individual
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that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations. Apply now
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make a significant contribution to teaching programmes and the development of the curriculum in your specialist area and will supervise postgraduate students. You will help the Department maintain and
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We are seeking to appoint two Research Assistants to join Professor Lisa Stockdale’s team, which has been at the forefront of developing and testing malaria vaccines for many years. The group leads
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, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse