613 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" PhD scholarships in United Kingdom
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Duration: 3 years 1st Supervisor: Dr Abhijeet Ghadge 2nd Supervisor: Dr Nicky Yates This fully funded PhD studentship sponsored by Cranfield School of Management, offers a tax‑free bursary of up
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for 3.5 years. Lead Supervisor’s full name & email address Dr Richard Mandle: R.Mandle@leeds.ac.uk Co-Supervisor’s full name and email address Dr Thomas Raistrick: t.j.raistrick@leeds.ac.uk Dr Mamatha
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the studentship see: https://www.uwe.ac.uk/research/postgraduate-research-study/how-to-apply/studentship-opportunities/ultra-low-energy-student-housing For an informal discussion about the studentship
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implementation of analytical protocols (LCMS, ion analysis) The candidate will be part of a larger group working on different aspects of sonolysis challenges (~8 PGRs, led by Dr Bussemaker), alongside a well
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Supervisor: Dr Mark Greenhalgh, University of Warwick (mark.greenhalgh@warwick.ac.uk ) Application Deadline: No deadline (applications accepted all year) Funding Details: Self-funded Students only
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Dr Prachi Bhatnagar’s research team in the Population Health Sciences research institute, benefitting from the incredibly strong public health, sustainability and urban development networks
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Novel Graphene Field-Effect Transistors for RF to THz Electronics and Biosensing Applications DoS: Dr Shakil Awan (shakil.awan@plymouth.ac.uk , tel.: 01752 586 325) 2nd Supervisor: Dr Vincent Drach
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duration: 4 years Sponsor: Newcastle University (NU Futures Fund) Supervisors: Dr Sarra Ryan, Dr Thomas Nicholls , Dr Robbie Bain Eligibility criteria: A 2:1 honours degree, or international equivalent, in
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but