397 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" PhD positions in United Kingdom
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This project aims to perform laser spectroscopy studies on proton-rich nuclei, in order to investigate the evolution of nuclear structure of these exotic species. At the edges of the nuclear
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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and identify structural barriers to nutrient release. Drawing on these mechanistic insights, you will also help to develop and test prototype nutritional supplements or modified food‑structure
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Ltd and Imperial. The project will develop high-performance lightweight alloys and composites for aerospace and other demanding engineering sectors, while improving manufacturing efficiency and
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: How sensitive are the emission factors of the different stoves to user behaviour, and what are the underlying mechanisms? What are the emissions profiles of solid waste (e.g. construction timber, garden
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technology in real‑world settings, how digital insights influence decision‑making, and how the technology affects human and animal experiences on dairy farms. It will also explore associations between
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on existing structures of domination (e.g., capitalism, economic growth, technology, politics). Central to discourses challenging the status quo or incremental change regarding a just transition is the need
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The Crop Innovation Centre - Skills, Technology and Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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measurements of nuclear parameters via the hyperfine structure and isotope shift. The project is based at facilities where The University of Manchester and our national and international collaborators, from
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to structural design models to quantify the potential impact on key drivers of offshore wind farm economics. Specifically the impact of advanced wake models on wind farm energy yield forecasts, hence revenue, and