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Field
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profile. Your experience and ambitions We welcome candidates with a Master's degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural
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have an offer for their PhD programme at the University of Nottingham via the University's online application system to commence in 26/27 academic year studying Full-Time. Home/EU and International
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necessary time and size scales, enabling realistic thin-film growth simulations with near-quantum accuracy at a fraction of the computational cost. The tools developed in this position have the potential
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innovative statistical methods to real biomedical problems in order to deliver key insights into human health and disease. One highly competitive fully funded (covering University fees and stipend) three-year
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of quantum science. Together we have a unique skill set and knowledge base in quantum interferometry, molecular science, opto-mechanics, quantum sensing, particle beam methods, laser technology, physical
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in the literature, with a particular emphasis on the ‘mortar’ method in BISON. Validation against experimental data and benchmarking against other codes reported in the recent OECD ‘Pellet-Cladding
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of quantum science. Together we have a unique skill set and knowledge base in quantum interferometry, molecular science, opto-mechanics, quantum sensing, particle beam methods, laser technology, physical
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Saltmarshes and seagrasses are renowned for numerous ecosystem services including coastal defence, carbon sequestration, nutrient cycling, and water filtration (McKinley et al., 2018; Unsworth et al
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, despite growing interest in the wider applicability of these methods, there remains limited understanding of how their impact unfolds across the interconnected domains of individual development
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of length scales from small molecular units to long chained polymers, with even simple substances such as nitrogen or methane exhibiting complex phase behaviour. Methods to map this behaviour are well