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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Dr Marc Little and Dr Filipe Vilela in collaboration with industry partner, BASF
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to analyse complex datasets, extract meaningful insights, and guide the optimisation of drug molecules. Collaborate with internal groups, including the Centre for Additive Manufacturing (CfAM) to design and
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degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
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collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer science
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candidates with a background in meteorology, climatology, physics, and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world challenges in the area
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or international conferences. The successful applicant will have a keen enthusiasm for research in fluid mechanics, with a background in Engineering, Mathematics or a related discipline. Depending on experience and
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public health specialists globally. Your outputs will directly contribute to public health at local, regional and international level, and as such you develop collaborative and multidisciplinary skills
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
for industry placements, site visits, international facility visits and biannual residentials. The Project Are you passionate about sustainable innovation and eager to tackle one of the construction industry’s
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or international students) fully funded. Competitive Tax-free annual stipend for 3 years. Requirements The candidate should have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves