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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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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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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in
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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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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
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of £20,780 (2025/26 UKRI rate). An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the project. Overview ReNU+ is a unique and ambitious programme
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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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. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased