4,340 phd%20%22Maastricht%20University%22%20%22Maastricht%20University%22 scholarships
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The University of Exeter’s Department of Clinical and Biomedical Science is inviting applications for a PhD studentship fully-funded by Diabetes UK to commence on 23rd September 2024 or as soon as
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Funding amount: Sponsored by EPSRC and Cranfield University, this studentship will provide a bursary of up to £20,000 (tax free) plus fees* for three years. Supervisors: Dr Geoffrey Neale This PhD
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Location: Cranfield University Funding for: UK Students Closes: 08/05/2025 Supervisors: Professor Howard Smith This research project delves into the development of tools tailored to conceptualise 6th generation combat aircraft. It encompasses an exploration of pertinent feature modelling,...
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Are you looking for excellent research opportunities for your PhD studies at the forefront of cancer research? The German Cancer Research Center (DKFZ) in Heidelberg invites international students
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applications for a National Institute for Health and Care Research (NIHR) School for Primary Care Research (SPCR) funded PhD studentship to commence in September 2024 or as soon as possible thereafter
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Supervisory Team: Prof Andy Clarkson and Dr Jacob Mackenzie PhD Supervisor: Andy Clarkson Project description: A fully funded PhD project with a stipend of £23,600 (tax-free) p.a. is available
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Lead Supervisor’s full name & email address: Dr Xu Zhang – [email protected] Co-supervisor name(s) & email address(s) Professor Jie Xu – [email protected] Project summary: Edge intelligence for the Internet of Things (IoT) presents a revolutionary solution to the limitations of existing...
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Lead Supervisor’s full name & email address: Dr Anuradha Pallipurath – [email protected] Co-supervisor name(s) & email address(s) To be confirmed Project summary: This interdisciplinary project presents an exciting opportunity for an ambitious scientist or engineer to work across the...
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approximately 25 industry across 20 OECD/EU countries. Identify the factors that explain the time variation in the slopes of the sectoral Philips Curves, paying special attention to the role of market power
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efficient AI landscape in which machine-learned knowledge can be built incrementally and worldwide with optimized energy use. This PhD project aims to advance the latest lifelong learning and sharable AI