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biomedical image processing. Within the scope of machine learning and computer vision, there will be freedom to suggest your own research directions, and to become acquainted with new techniques and approaches
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Applied Physics This PhD position is part of the project “Improved myopia control via peripheral image
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an interdisciplinary team of experts in biomechanics, anatomy, medical imaging, clinical sciences, and sports coaching. This PhD is ideally suited for candidates who enjoy hands-on experimental work, working with people
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’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is an unmatched infrastructure in place to support the
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: Education & Experience: Graduate degree (Masters/PhD) in Computer Science, Engineering, Mathematics, Statistics, or similar disciplines and two or more years of professional experience, or can convincingly
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training of undergraduate and/or postgraduate students and less experienced members of the project team on PET imaging, kinetic modelling, and other image processing techniques to ensure their effective
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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imaging (MRI). The position is within the Research Council of Finland (RCF) consortium project focusing on the development of low-field MRI hardware, sequences, image reconstruction and applications, in
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Greece Application Deadline 29 Dec 2025 - 13:00 (Europe/Athens) Type of Contract Temporary Job Status Full-time Hours Per Week 40