962 postdoctoral-image-processing-in-computer-science PhD positions in United Kingdom
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The Context Are you considering pursuing a PhD in Applied Informatics to help create a better world? Look no further than Edinburgh Napier University. Ranked as the top modern university
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will uncover the interfacial solvation structure, validated through comparison between computed and experimental sum-frequency vibrational spectroscopies, as well as the mechanism of chemical
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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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certificate time validity, can be found here. Specific Requirements 2:1 (or above) in Mathematics, Physics, Computer Sciences, Sport Science. A strong understanding of the science behind cycling performance
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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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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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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. 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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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