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machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
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includes funded attendance at elite conferences (e.g., CHES, HOST, COSADE) and specialist training in cryptographic engineering, embedded trust, and side-channel analysis. International mobility is embedded
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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industry projects that emissions reductions will be achieved through a combination of low-carbon alternative fuels and the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA) scheme
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technology, computational engineering, or research. Exposure to virtual reality development and attendance at international conferences will further broaden their skillset, making them highly competitive in
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to apply: Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select ICASE Trustworthy AI For Industrial Applications on the Programme Choice page. You will be prompted to enter
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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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EPSRC Doctoral Landscape Award: Embedded power electronics converters design for future electric vehicles Applicants are invited for a 4-year EPSRC Doctoral Landscape Award PhD programme, co
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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