486 computational-physics-"https:"-"https:"-"https:"-"https:"-"NOVA.id" PhD positions in United Kingdom
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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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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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individual atomic sites. Topological defects are central to modern condensed-matter physics, underpinning phenomena ranging from superconductivity to superfluidity, yet they are rarely accessible as individual
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, including engineering, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance
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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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., photoluminescence imaging, carrier lifetime measurements), physical and chemical separation, (e.g., density, electrostatic, magnetic, froth flotation separation) using battery recycling infrastructure available in
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alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
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receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
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. Further details about the project, eligibility and application process can be found in the Further Information document. PhD studentship: Recording nature and writing the self: time, entomology and the
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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