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. The successful candidate will then need to apply for the PhD programme at the University of Sussex. For questions relating to the application process, contact business-researchstudents@sussex.ac.uk . For informal
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. The successful candidate will then need to apply for the PhD programme at the University of Sussex. For questions relating to the application process, contact business-researchstudents@sussex.ac.uk . For informal
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Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the
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approx. £15-17k across full PhD programme). Monthly stipend based on £20,780 per annum, pro rata, tax free. Working hours: Full-time (minimum 37.5 hrs per week). Working style: Primarily in-person at host
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Academy’s Training Programme, with access to bespoke courses developed for Engineering PGRs, including sessions on career development after the PhD. The faculty has outstanding facilities and works in
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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the programme code: 8040F · select ‘PhD Civil Engineering (Structural) (full time) – 8040F as the programme of study You will then need to provide the following information in the ‘Further Details’ section
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(y.chen.22@bham.ac.uk ). Funding: The project is available through MIBTP funding program. For more details, please see: https://warwick.ac.uk/fac/cross_fac/mibtp/phd/supervisors/ychen References: Shropshire
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Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code: 8090F · select ‘PhD Mechanical Engineering (full time