429 postdoctoral-image-processing-in-computer-science PhD scholarships in United Kingdom
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interest in material science, manufacturing, and/or process modelling are particularly encouraged to apply. How to apply: Prior to submitting an online application, you will need to contact the project
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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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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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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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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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humans. The successful candidate will join the new Intelligent Robotics group in the Computer Science Department in the Computational Foundry in the Faculty of Science and Engineering at Swansea University
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and admission process should be directed to: graduate.admissions@chem.ox.ac.uk ; tel.: +44 (0) 1865 272569. The Department of Chemistry holds the Athena SWAN Silver Award and the McGonigal and Avestro
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Heriot-Watt University invites applications for funded PhD studentships in Social Science starting in October 2026. The Scottish Graduate School of Social Science Doctoral Training Partnership
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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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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student