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allowing us to recognise individuals on the basis of visual and vocal characteristics and automate the large-scale quantification of behavioural and physiological responses. The aim of this PhD is to combine
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
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basis from 1 April 2026 – 31 March 2028.The position will be based at the Department of Engineering, University of Exeter. The successful candidate will contribute to the design and development
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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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single-cell transcriptomic/spatial datasets. This is a fixed term position for 3 years, with flexible start date between 01/2026 and 05/2026. About you Applicants will hold a PhD or equivalent
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. Applicants will possess a PhD in mathematics, physics, meteorology, geosciences or a related field. The successful applicant will be a nationally recognised authority in dynamical modelling and possess
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; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification
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the results with observational constraints. The successful applicant will also have the opportunity to work with Masters students, summer students and potentially co-supervise PhD students. About you The
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and electronically and prepare proposals and applications to external bodies. You will: possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related