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). Prior experience in medical imaging & analysis and/or computer vision algorithm development using high performance computing (HPC). Publications in peer-reviewed technical/clinical journals or machine
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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Forming (CEMEF, Sophia Antipolis), and the Laboratory of Materials Science and Engineering (MATEIS, Lyon). The latter specializes in studying the relationships between materials, processes, and properties
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responsibilities will be to: Photonic System Innovation: Craft state-of-the-art instruments and components for commercialisation across optical communications, hyperspectral imaging, and astronomical applications
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prior surgery experience and optical imaging experience is preferred. However, any qualified individual with the tenacity and willingness to learn and take on a complex project would be favorably
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25 Aug 2025 Job Information Organisation/Company Institute of Nuclear Physics Polish Academy of Sciences Department Department of Magnetic Resonance Imaging /NZ56/ Research Field Physics Researcher
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. Collaborate on multidisciplinary projects involving high-throughput phenotyping platforms. Apply machine learning and deep learning techniques to improve image processing and trait prediction. Analyze large
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qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: Familiarity with optical design, image processing, or instrument prototyping. Programming skills in MATLAB, Python, or LabVIEW
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that changes to mechanical sensing, signaling and memory, critically influences the disease onset and progression1. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University