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input, two key functionalities need to be developed: (1) the ability to physically manipulate material to perform polymerisations and (2) the ability to analyse and process data. Over the course of this
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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required (e.g. a BSL interpreter). If you have any general queries about the applications process, please contact soss.pgradmissions@hw.ac.uk
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the opportunity to contribute to the research and public engagement activities. HOW TO APPLY: eligible applicants should send : 1. Curriculum vitae (max 5 pages). 2. A 2 page outline of proposed area of
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information about the application process, please consult our PhD programme webpage or apply directly by clicking the 'Apply' button, above. Before applying, you should carefully review the research carried
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for a short-term full-time position. This is a fixed-term appointment for up to 6 months. The expected start date is June 16th 2025, or as soon as possible thereafter. The post holder will be contributing
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@sussex.ac.uk . For questions relating to the online application process, please contact enginf-pgr@sussex.ac.uk
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Within energy from waste (EfW) plant, non-recyclable waste is combusted to extract useable heat to create electricity. This process has two major benefits: 1, electricity is generated from a source
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(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
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will enhance the understanding of physical mechanisms affecting the processes of pollutant dispersion in the wake of passenger cars. This is a double-PhD study and so the student will spend the first 18