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Closing Date: 16th November 2025 (at 23:59 GMT) - Please note we will be reviewing applications as they are received and may close the advert earlier if a suitable candidate is found. Job type: Full time, Permanent This role is not eligible for Skilled Worker visa sponsorship. The successful...
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the University of Northumbria "When and Why does it Rain in the Desert". The postholder will be based in Reading and will be part of a team of early career scientists there. You will have: A PhD in a relevant
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advantage. Take on administrative duties and academic citizenship activities as well as academic leadership roles as appropriate; You will have : compulsory A PhD in Accounting or Finance or Economics
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vibrant and diverse community of doctoral researchers and their supervisors. We are currently training over 100 PhD students across seven partner universities. You will be based in Department of Food and
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99% of our research was judged to be world leading, internationally excellent or internationally recognised). You will have: -A relevant degree; -A PhD (completed or very near to completion); -A record
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be provided with a comfortable and professional uniform and patrol boot allowance Employee Assistance Programme: We provide an independent, free and confidential Employee Assistance Programme (EAP
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a multi-disciplinary team, delivering high-quality outputs to tight deadlines. Contact Name: Professor Weizi Li Contact Job Title: Professor of Informatics and Digital Health Contact Email address
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discuss visa routes with candidates who are invited to interview. This is an exciting time to join the University of Reading as we embark on a Professional Services Programme that will fundamentally change
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of Reading, Imperial College, London and Tsinghua University. The postholder will also be expected to interact with other members of the LEMONTREE team. The ideal candidate will have: A PhD in environmental
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling