727 information-security "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD positions in United Kingdom
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Project Description Methane is a potent greenhouse gas with a global warming potential significantly greater than carbon dioxide over short time horizons. Accurate quantification of methane
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EPSRC funded UDLA PhD studentship. The studentship will start on 1st October 2026. Project Description The project aim is to develop novel FETs and biosensors based on Graphene and 2D Materials
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Application deadline: 31/05/2026 Research theme: Catalysis, Synthesis, Chemistry How to apply:uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible
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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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Application deadline: 31st May 2026 This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for
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on Tuesday 30 June 2026 Reference: PHD-GC-01 Acoustic Monitoring and Artificial Intelligence for Precision Assessment of Dairy Cattle Welfare Precision livestock farming is transforming how animal health and
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. Cranfield University is a specialist postgraduate institution recognised internationally for delivering transformational research in aerospace, defence, and security. In the REF2021 review of UK university
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) is inviting applications for a four-year Doctoral Studentship in association with our collaborative partners - The Invictus Games Foundation, Invictus Games Birmingham 2027, and The Royal British
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Kingdom. The Studentship is named in honour of the late Professor S.F.C. Milsom, sometime Literary Director and President of the Society. The studentship is tenable for a maximum of three years, subject to an annual review
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dives into data from online consumer feedback and the embedded environmental footprints of each stem. This project will focus on the interface between the product’s aesthetic and data-augmented generative