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unprecedented power density and efficiency. Funding and Eligibility The studentship covers home tuition fees together with an annual tax-free stipend at the current UKRI rate. The scholarship is primarily
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Application deadline: 30.09.26 Research theme: Applied Mathematics, Thermal-Fluid-Dynamics, Multi-Physics How to apply: https://uom.link/pgr-apply-2425 UK only This 4 year PhD project is fully funded and home students. The successful candidate will receive an annual tax-free stipend set at the...
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3.5-year D.Phil. studentship Project: in Development of High Energy Density Li-Sulfur Batteries Supervisors: Prof Paul Shearing Next generation Li-sulfur batteries offer the pathway to ultra
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Nuclear energy-density functionals are among the most powerful theoretical tools for describing atomic nuclei and for connecting laboratory nuclear physics with the properties of dense matter in
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the low volumetric density of hydrogen, ammonia has emerged as a promising hydrogen carrier and zero-carbon fuel. The overall aim is to develop a novel direct ammonia fuel cell technology that can
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particular emphasis on time-dependent density-functional theory (TDDFT). Understanding how electrons evolve in time is central to modern science and technology, from photochemistry and catalysis to quantum
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Background: The transition towards electrified automotive and aerospace transport demands electric motors with increasing power density, efficiency and operating voltage without compromising
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. eLife (2019). PMID: 31042147 Wang G, Moffitt JR, Zhuang X. Multiplexed imaging of high-density libraries of RNAs with MERFISH and expansion microscopy. Sci Rep 8, 4847 (2018). PMID: 29555914 Moffitt JR
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, vegetation types and LiDAR densities – Improve processes to automatically derive vector information from the detected under-canopy structures – Validation and benchmarking The ideal candidate should have
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sedimentological (grain size distribution), geochemical (XRF, ICP-OES, C/N), and soil physical (density, pore volume, water conductivity) analyses in the laboratory, multivariate statistical evaluation of the data