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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program
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October 2025 start ONLY For January and April starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme at
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship funded by the partner Liverpool Victoria General Insurance Group Limited, to commence on 1 November 2025 or as soon as possible thereafter. This PhD project aims to explore how emerging datasets...
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account and use the link sent by email to start the application process. During the application process please select the PhD in Psychology. *Important notes* 1) Please quote the reference ‘DRC25-023’ in
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are welcome from diverse backgrounds, including physics, chemistry, engineering and material science. We are particularly interested in applicants with a strong preference for hands-on experimental work and a
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+4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years part
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supervised by Prof. Peter Scott, Director of the Lincoln Theological Institute. Tenable period The award is tenable for 3.5 years from September 2025- covering the full PhD programme in PhD Religions and
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary air surveillance radars specially modified
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised