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institute. Notably, the successful candidate may have the option of enrolling as a PhD student, with the University (student tuition fees and research costs are fully funded) and we would welcome applications
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This project is a fully funded MSc by Research Scholarship in Medicinal Chemistry / Synthetic Organic Chemistry and builds on a successful decade-long research programme at the University of Exeter developing novel molecules to address unmet clinical needs. This is evidenced by high impact and...
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applicants need to be aware that they will have to cover the cost of their student visa, healthcare surcharge and other costs of moving to the UK to do a PhD . The conditions for eligibility of home fees
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consider the multiple health and other impacts when deciding on appropriate action. This PhD studentship will conduct an assessment of the impacts of policies aimed at improving home energy efficiency
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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study and be able to demonstrate sufficient knowledge in the discipline and of research methods
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, qualitative and creative research methods, this research is deepening understanding about the complex psychosocial, cultural and familial processes that influence farm women’s health and well-being across
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2 Sep 2025 Job Information Organisation/Company University of Exeter Department Human Resources Research Field Geography Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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sufficient breadth or depth of specialist and core knowledge in the discipline, demonstrated by a PhD and/or established experience in legal academia or legal practice, demonstrating the core knowledge
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applications to external bodies. We’re looking for a highly motivated scientist with: A PhD in Physics, Chemistry, or Biochemistry. Proven expertise in Raman/IR spectroscopy & machine learning classification