27 phd-position-in-image-processing PhD positions at The University of Manchester in United Kingdom
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(R1) Positions PhD Positions Country United Kingdom Application Deadline 30 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Job Status Extra Information PhD postion
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For UK students only This 3.5-year project is open to home students. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26). Tuition fees will
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Deadline: All year round Research Group: Coatings and Ceramics How to apply: uom.link/pgr-apply UK only This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled
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will be removed once the position has been filled. A highly attractive PhD studentship is available for application by end of November 2025 or as soon as the position is filled up, offering full fees
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Application deadline: All year round Research theme: Biotechnology and cryobiology How to apply:uom.link/pgr-apply-2425 UK students This 3.5-year PhD studentship is open to Home (UK) applicants and
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Application deadline: 14/11/2025 Research theme: HVDC, renewable energy, power networks, modelling How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK
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Research theme: Laser materials processing; Advanced manufacturing; Mechanical Engineering This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers
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Application Deadline: Applications accepted all year round How to apply: https://uom.link/pgr-apply-2526 UK Only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful
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This 3.5 year PhD project is fully funded for UK students. Your tuition fees will be paid, and you will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26). We expect
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manufacturing adaptive clothing at scale. This PhD project seeks to address that gap by developing an engineering-led framework for adaptive and inclusive apparel design. Bringing together design process thinking