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available from 01/04/2024 to 31/03/2025. The successful applicant will combine remotely sensed datasets with machine learning to map peat extents, habitats, habitat condition and change. The post will include
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electronically and prepare proposals and applications to external bodies. Applicants will possess a relevant PhD (or be nearing completion) or possess an equivalent qualification/experience in a related field
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economic modelling and GIS. The successful candidate will provide expertise in Environmental Economics and Natural Capital accounting and valuation to support the work of Prof Richard Brazier on Upstream
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with them and to conduct impactful and rewarding research. The project will be based at the University of Exeter in collaboration with the University of Bristol. Remote or hybrid working options within
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and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies possess a relevant PhD (or nearing completion) or possess
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, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies. Applicants will possess a relevant PhD and a strong background related to
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to external bodies possess a relevant PhD (or be nearing completion) in Art History and Visual Culture, Media and Communications, Cultural Studies, History, Languages and Cultures/Modern Languages, or possess
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proposals and applications to external bodies possess a relevant PhD (or be nearing completion) in Art History and Visual Culture, Media and Communications, Cultural Studies, or History, Languages and
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inclusive public involvement and engagement underpins all of SPHERE’s ambitions, with specific regard to rural, low-income communities. About you Applicants will possess a relevant Masters, PhD or possess
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coordinating with senior stakeholders to deliver successful outcomes. Applicants will possess a relevant PhD in Genomics (or be nearing completion), or possess an equivalent qualification/experience in a related