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Field
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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degree in Electrical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field, with a genuine interest in Wearable Technology, Sensor Development, Biomedical Devices, and Data
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supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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This fully funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA) and RES Group, offers a bursary of £25,000 per annum, covering full tuition fees. The project focuses
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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parameters/mechanisms and model outcomes by varying the parameters simultaneously over a large range of values. Once the simulations are performed, the output variability can be apportioned onto the input
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Funding Source: University of Warwick Sponsor Company: not available Stipend: UKRI standard rate for a full-time PhD over 3.5 years (Annual Stipend of £20780 for 2025-26). Eligibly: Available to UK
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programme (Semester 1 / September start): via the Apply button above. Please be sure to quote the reference "SEMS-PHD-661" to associate your application with this studentship opportunity.