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Field
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image denoising, and hyperspectral analysis. Work with partners such as the Ada Lovelace Centre (ALC) and STFC AI for Science to integrate computational models into operational platforms (e.g., Bluesky
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The Department of Computer Science at Durham University seek to appoint a talented individual to the role of Asisstant or Associate Professor. This is a permanent position.We are seeking a talented
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
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. This integrated approach helps researchers process and interpret complex image data with precision, enabling discoveries across the life and biomedical sciences. About the role We are seeking a highly motivated
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11 Nov 2025 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom
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. Who we are looking for We are seeking candidates with a good Honours degree in Physics or Engineering (or equivalent). Candidates should have excellent image processing and computational skills, with a
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. This integrated approach helps researchers process and interpret complex image data with precision, enabling discoveries across the life and biomedical sciences. About the role We are seeking a highly motivated
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the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image
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/Directorate: School of Medical Sciences This is an outstanding opportunity for a Research Associate, with a background in deep learning and medical image analysis, to work within the reirradiation research team