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reconstruction techniques, provide a basis for a new continent-wide synthesis of vegetation and wildfire changes during the Holocene. The goal of the PhD is to reconstruct vegetation and wildfire regimes across
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they provide an explanation for the adoption of agriculture. The goal of the PhD is to apply advanced statistical approaches to pollen records from existing databases in order to reconstruct climate changes
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are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending
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Agency Applications are invited for a 3.5 years PhD studentship. The studentship will start on 01 October 2026 Project Description We invite applications for an exciting project that will explore how
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radiopharmaceutical kits. What we offer: We are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating
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are offering an exciting and ambitious PhD research opportunity to explore different molecules/targets to develop infection-specific radiotracers and navigating their clinical translation. Depending
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PhD candidate interested in ecological modelling applied to the interface between conservation and agriculture. The candidate will develop skills in experimental design, development of ecological theory
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The Leadership, Management and Strategic Capability (LMSC) group at Cranfield University offers PhD programmes for those seeking to lead and innovate in the defence and security sectors. LMSC
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About the Project Project details: Understanding rapidly changing digital environments requires both large-scale empirical data and mechanistic models. Computational Social Science (CSS) provides powerful tools to describe the spread of information in online environments — e.g. topic modelling,...
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DoS: Dr Thomas Murphy 2nd Supervisor: Dr James Buckley 3rd Supervisor: Dr Kirsty Matthews Nicholass 4th Supervisor: Dr Jennifer Rowntree Applications are invited for a 3.5 years PhD studentship