77 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
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, age or social background. Please read our application guidance to see our programme specific requirements, including proforma Research and Personal Statements: https://biodtp.norwichresearchpark.ac.uk
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provision in the early years of the MBChB programme in an engaging and innovative way making use of best practice and working within Teaching and Learning strategic frameworks. 3. Contribute to pastoral care
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previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD Neuroscience. Please select ‘funding
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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of the Fellowship, including its bespoke training and mentoring programme, leads to the opportunity for a permanent academic appointment from September 2029. Join Our Live Webinar Learn more about the Fellowships
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programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods, writing for publication, thesis
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Accurate eyewitness identification is critical
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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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eligible to enroll in the doctoral program at King’s College London. What We Offer: 36-month MSCA employment contract MSCA allowances package (living + mobility; family allowance if applicable), in
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) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project aims at integrating data-driven optimisation and design of experiments techniques with model-based