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This 3.5 year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive an annual tax free stipend set at
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on the genetics of appetite and obesity. Candidates should be of postdoctoral level with relevant experience of canine or/and human genomics, or molecular biology. Candidates without PhD but significant expertise
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of transposon-derived variation and its role in functional genetic variation and genome evolution in animals. A PhD in a biological science or computational science is essential for this role. Those who have
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In this project, different optimal control problems will be considered under a contagious financial and insurance market with regime switching and risk uncertainty. In the first chapter, an optimal portfolio choice and life consumption problem will be studied under a fragile financial market...
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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on African Studies. Application package Apply to the QMUL PhD programme and submit your application reference number: https://www.qmul.ac.uk/politics/study/phd/postgraduatestudentships/ then select
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’ in the ‘Year of Entry’ field enter programme code 8420F in the ‘Course Title’ field leave the ‘Research Area’ field blank press ‘Search’ Select ‘PhD Biosciences (FT)’ Save selection In the ‘Further
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will be provided): Either an excellent undergraduate degree or an MSc/MRes in Chemistry. Experience in materials synthesis, computational modelling and/or electrochemistry. Familiarity with analytical
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for Conservation Science . This PhD is part of the Cumbria Connect project , which is funded by the Endangered Landscapes and Seascapes Programme . Cumbria Connect aims to restore 33,000 ha of the English upland