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,USA and Europe nationals. You will be part of a world-leading team in correlative in situ imaging of advanced manufacturing processes, with strong links to synchrotron facilities and industrial
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accelerating its practical adoption in construction and beyond. The Research Fellow is expected to: • Assist the design and lead the commissioning and operation of the new metal additive manufacturing
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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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process. About You Completion or near completion of a PhD in neuroscience, computer science, data science or relevant related field. An emerging profile in research in the discipline area. Demonstrated
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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related field with emphasis on biosignal analysis and imaging systems. Proven experience in visual behavior analysis, video processing, or physiological signal interpretation, preferably in aquatic
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical