51 computer-programmer-"https:"-"IDAEA-CSIC" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" positions at Newcastle University in United Kingdom
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certificate prior to obtaining their visa and to study on this programme. How To Apply How to apply Please read and complete this document as your Personal statement, and upload this with your application
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and to study on this programme. How To Apply You must apply through the University’s Application Portal: https://applyto.newcastle.ac.uk/ In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research
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on this programme. How To Apply Apply using Newcastle University Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify programme of study: search
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Start Date: September 2026 Award Duration:3.5 years Application Closing Date: 17 April 2026 Sponsor: School of Computing Supervisors: Dr Vipin Sathi Dr Essam Ghadafi Eligibility Criteria You must have, or
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develop mixed-methods expertise and join Dr. Tang’s research team in the Population Health Sciences Institute (PHSI) and benefiting from Newcastle University’s Stroke Research Group, a multidisciplinary
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Deadline 24 Apr 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Horizon
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levels. Funded by the European Union’s Horizon Europe Research and Innovation programme MSCA (Grant Agreement number 101226907) Where to apply Website https://jobs.ncl.ac.uk/job-invite/29263/ Requirements
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certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications
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integration. About This PhD This PhD programme is part of a prestigious £8M EPSRC Programme Grant on Advanced Integrated Motor Drives (AIMD), a major research initiative launched in 2025. You will work on the
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent