1,031 postdoctoral-image-processing-in-computer-science PhD positions in United Kingdom
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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Dive into the future of visual technology with a studentship at the forefront of modern imaging science, where
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The EPSRC Centre for Doctoral Training in Quantum Informatics (QI CDT) invites applications for up to 16 fully funded four-year PhD studentships in Quantum Informatics with Integrated Study for
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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benefit from the extensive and broad expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a
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: Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject, typically in the physical sciences or engineering. Experience of computer simulation, or
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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, animal ecology, ecosystem process measurement and new drone and sensor technologies for environmental science research. Eligibility Applicants should have a first or upper second class honours degree in
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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example of universality, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within
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Fixed-term: The funds for this post are available for 2 years in the first instance. The Department of Computer Science and Technology is an academic department that encompasses computer science