614 postdoctoral-image-processing-in-computer-science PhD positions in United Kingdom
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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing
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applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
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begore the deadline. The start date is 1st October 2025. This studentship is related to a multi-institutional EPSRC Programme Grant "AMFaces: Advanced Additive Manufacturing of User-Focused Facial
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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Applications are invited for a PhD Studentship, with a late 2025 / early 2026 start, hosted at the University of Nottingham within the Department of Chemical and Environmental Engineering and School
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, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans
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(or equivalent) in a biomedical science. Experience in neuroscience and/or immunology is desirable. Project key words Retinal imaging, data-analytics, computer vision, big data Funding The studentship, funded by
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of Computer Science, and the machine learning group in particular, conduct world-leading research across a wide range of disciplines. Sheffield University is home to the Centre for Machine Intelligence (which
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candidates with: • Relevant subject matter experience at required level (e.g. 2.1 or above undergraduate degree in physics, mathematics or computer science) • Willingness to adapt and work across different