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of £3,000. Starting date will be preferably on 1st October 2025. Home students are strongly encouraged to apply. Please send your CV (including publications if apply) and transcripts to Dr Ke Li (ke.li2
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of £3,000. Starting date will be preferably on 1st October 2025. Home students are strongly encouraged to apply. Please send your CV (including publications if apply) and transcripts to Dr Ke Li (ke.li2
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with transferable expertise applicable across AI-driven domains. Application Process To apply, please send a CV, cover letter, and transcripts to Dr Christopher Wood (christopher.wood@nottingham.ac.uk
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through our Full-Time online link as per below: qpl.edgehill.ac.uk/apex_qlive/f?p=PV_ONLINE_APP:101::::APP:APP_COURSE_INSTANCE:856620958 Once you have done this, please send the following items in one email
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environmental conditions. Your work will involve analysing complex spatial and temporal datasets, integrating mechanistic and correlative approaches to understand biodiversity patterns and their drivers. The post
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and methods. You can find faculty research interests on the staff web pages. If you have any general queries, please contact the PhD Director, Dr David Baxter, e-mail: d.baxter@soton.ac.uk and
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. Application Process To apply, please send a CV, cover letter, and transcripts to Dr Christopher Wood (christopher.wood@nottingham.ac.uk ) and Dr Grazziela Figueredo (g.figueredo@nottingham.ac.uk ). Informal
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/ The Team The successful candidates will work primarily with Dr Jim Everett, alongside a Post-Doctoral Research Associate, a Project Officer, other PhD students supervised by Dr Everett, other Academic Staff
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academics, 60 post-doctoral researchers and over 80 PhD students, will be made available for this project. The university actively supports equality, diversity and inclusion and encourages applications from
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£20m of funding in the last three years. This 5000m2 institute with state-of-the-art facilities for research into electrification technologies, hosting 21 academics, 60 post-doctoral researchers and