613 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "FEUP" PhD positions in United Kingdom
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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approaches to assess entrepreneurship interventions beyond income metrics. Supervisors Primary supervisor: Dr Sue Park Secondary supervisor: Dr Michelle Richey Entry requirements At least a 2:1 honours degree
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Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
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. To apply, please contact the main supervisor, Dr Thomas McDonald - thomas.mcdonald@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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researchers. Eligibility and how to apply Open to UK, EU and international candidates. Please apply online . For any enquiries about the project, email Dr Rasa Remenyte-Prescott at r.remenyte-prescott
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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of the candidate Essential: First or upper second class BSc honours degree in a relevant degree such as sport and exercise science, human physiology, data science Experience of working with patients with long-term
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careers in research, industry, or regulation. Number Of Awards 1 Start Date 1 October 2026 Award Duration 4 years Application Closing Date 15 February 2026 Sponsor EPSRC Supervisors Dr Leo Freitas , Dr Ken
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interests and engagement with participating local authorities. Supervisors: Prof Ödül Bozkurt, Dr Becky Faith, Dr Rachel Verdin. Eligibility: A minimum 2.1 undergraduate degree (or equivalent) in a field
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of interacting quantum matter; how thermodynamics emerges from it. The project will involve analytical and numerical approaches. It will be supervised by Dr Bruno Bertini (b.bertini@bham.ac.uk ). Funding notes