495 computational-physics-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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understanding of inferential and quantitative concepts and a broad range of quantitative techniques, strong computational skills and preferably previous experience of simulation modelling. They should have an
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(2) cover letter stating your motivation, qualifications and expectations related to this PhD opportunity (max. 1 page). You may be requested to provide a reference letter later on in the process.
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, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of
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Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased binders, road construction About the Net2Zero Centre for Doctoral
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up to a £5k/annum research training support grant for the full duration of the 4-year programme. Metal-ligand multiple bonding is a burgeoning area for making chemically novel structural motifs
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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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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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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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) and long-term properties (including creep and fatigue behaviour) will be analysed. Furthermore, the project will develop physics-assisted artificial intelligence (AI) models that integrate experimental