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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
, conducted in collaboration with BASF and Heriot-Watt University. The initial study utilised advanced flow chemistry techniques to accelerate the biodegradation of BASF-supplied polymers, employing size
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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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Type of award Studentship Managing department School of Social Sciences Value Tuition fees An annual maintenance stipend (£19,237 per annum for 2024/25) A research training support grant Specified
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: Prof Alex Dickson Further information: The successful applicant will join the Energy and Environment research cluster in the Department of Economics in Strathclyde Business School, and will be part of a
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supervised by Prof. Peter Scott, Director of the Lincoln Theological Institute. Tenable period The award is tenable for 3.5 years from September 2025- covering the full PhD programme in PhD Religions and
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Supervisor details: Lead Supervisor Dr Brian John Pickles, b.j.pickles@reading.ac.uk , Reading / SBS Co-supervisors Julija Fediajevaite, j.fediajevaite@pgr.reading.ac.uk , Reading / SBS + SLM Prof
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://www.bris.ac.uk/pg-howtoapply . Please select Mechanical Engineering on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form
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. The post is funded by Porticus. The successful candidate will undertake a PhD programme related closely to the work being carried out in the Conversations, Culture and Communion project based at the Centre
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. This studentship will be hosted within the medical school at Swansea University in the labs of Dr Laura Thomas (https://www.swansea.ac.uk/staff/laura.e.thomas/ ) and Prof Martin Clift (https://www.swansea.ac.uk
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., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis, machine learning, deep learning