77 computer-programmer-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
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help uncover how growth factor signalling shapes vision. For more information, email us at l.troeberg@uea.ac.uk . The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering
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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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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