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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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PhD studentship: Defining the role of the pioneer factor FOXA1 in hormone-dependent cancer Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further
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Supervisors: Dr Tim Halim and Dr Gregory Hamm Course start: 1st October 2026 Overview The project will be supervised by Dr Tim Halim, Dr Albert Koulman (Institute of Metabolic Science) and Dr Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of...
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PhD studentship, University of Bradford, Institute of Health and Social Care Application Deadline: 7 Jan 2026 Project Supervisors: Dr Stuart Dickens, Dr Sam McLean, Dr Gisela Helfer, Dr Jessica Kwok Project Description: Understanding how nutrition can affect cognition is important in our modern...
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Description GENIUS is a Marie Sklodowska-Curie doctoral network funded by the European Commission under the Horizon Europe. GENIUS pioneers a comprehensive approach to address the biggest global challenge
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
doctoral network funded by the European Commission under the Horizon Europe. GENIUS pioneers a comprehensive approach to address the biggest global challenge the energy sector is facing: the transition
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Project supervisor - Dr Tom Hargreaves Tackling climate change and meeting Net Zero targets will demand substantial changes to people’s everyday lives. Many different visions of Net Zero energy
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of diverse clinical scans and the anatomical structure of the heart. The model can be fine-tuned for different clinical tasks without retraining the entire network, enabling an agile workflow for performing