457 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions in United Kingdom
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field of multiphase flow modelling. Contact Dr Nadimi (sadegh.nadimi-shahraki@ncl.ac.uk) for more information. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing
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Date 20th February 2026 Sponsor Newcastle University Supervisors Dr Hannah Stewart Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Master’s level (or outstanding Bachelor’s) Honours
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Organization, national Ministries of Health and partner research institutes across 24 countries, to improve understanding of dengue and Zika virus circulation and interaction (https://www.imperial.ac.uk/news
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, active power pulsations and magnetics optimisation. You will work with Dr. Tabish Mir and Dr. Alan Watson at University of Nottingham’s Power Electronics and Machines Centre, which is a purpose-built £18M
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internationally recognised experts: Dr Zakhar Kudrynskyi, Prof. David Grant and Dr Timothy Cooper. Together, the supervisory team brings complementary expertise in thin-film growth, functional and dielectric
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. Please follow the link at: https://www.cst.cam.ac.uk to find out more about our department. In addition to the base salary stated above, the successful candidate for this post will receive an additional
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thinking regarding safety certifications and regulatory compliance. Number Of Awards 1 Start Date 1 October 2026 Award Duration 4 years Application Closing Date 15 February 2026 Sponsor EPSRC Supervisors Dr
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2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Jonathan McDonough ; Dr Greg Mutch Eligibility Criteria We are adopting a contextual admissions
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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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strategies and levels of fidelity. By the end of the project, the student will demonstrate the integration of ML-based boundary layer models within an open-source finite volume CFD code and quantify