497 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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information . Starting in October 2026. You will need to meet the minimum entry requirements for our PhD programme . This project will allow the student to acquire highly transferable skills in probabilistic
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district-wide universal offer for children and young people’s physical activity in Bradford. The studentship is embedded within Join Us Move Play, Bradford’s Local Delivery Pilot (LDP) programme , funded by
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provide considerable training in chronobiology, signal transduction in plants, microbiology, and data analysis and interpretation. As part of the “MicroClock” programme funded through an ERC Synergy grant
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related quantitative subject. Essential/important: Evidence of strong quantitative skills and interest in computational modelling. Basic programming/scripting ability (e.g., Python, MATLAB, Julia, C/C
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Doctoral Landscape Awards (IDLA) programme and is in partnership with Johnson Matthey. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in
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a number of questions relating to the accuracy of this kinematic data, and this forms the basis of this research programme. This project has the potential to redefine the future of biomechanical
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programme. Nationality restrictions Other eligibility criteria The proposed research project must be within the remit of EPSRC's research themes. Please see EPSRC website for information. Application
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. Eligibility You must be applying to study the PhD in Law (full-time and campus-based) and not already registered on a PhD programme at the University of York. Applicants who already hold a PhD are not eligible
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physiological and blood-based markers linked to left atrial thrombogenicity in AF, supporting more personalised stroke prevention. Project plan Phase 1: Cohort discovery in PREFER-CMR (n ~2,000): Using the PREFER
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once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . A strong background in computer science, computational science, data science, or a closely related