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Field
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch
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Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc
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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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Integrated PhD programme at the University of Sussex Business School. Benefits: The PhD studentship is offered for a maximum of four years, beginning in September 2026, renewable on a yearly basis, subject to
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University. How to Apply: All applications should be made online via the above ‘Apply’ button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference
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the above 'Apply' button. Under programme name, select ‘School of Social Sciences and Humanities’. Please quote the advertised reference number, ‘FCDT-26-LU2’, in your application. This PhD is being
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computing facilities and membership in the multidisciplinary Control & Power Group, which spans control engineering, energy systems and sustainability. Sector-leading salary and remuneration package
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There is increasing interest internationally in the application of ‘soft engineering’ techniques that work with the natural environment and slow / temporarily store water that would otherwise impact
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finger, this simple approximation enables the practitioner to determine the quantity of applied drug substance onto the skin. These simple logical steps transformed clinical practice and today the FTU
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture