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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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Your Job: Possible doctoral research topics: Designing processes and plants for the synthesis and use of chemical hydrogen storage Integration of chemical hydrogen storage systems into industrial
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for imaging blood flow dynamics in cancer using nuclear imaging techniques. This position involves pursuing a PhD thesis under the supervision of Dr. Pellico as part of the project "NanoFLOW” funded by
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to image the centre of live, intact, plant roots. The ability to observe dynamic cellular processes at the centre of a live root for the first time will unlock entirely new lines of biological inquiry
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Join the IMAGINE open innovation lab community to accelerate innovation. As a researcher you will: Design and conduct research on metabolic MR imaging technologies, focusing on improving quality
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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processes that arise in light–matter interactions, and to use these frameworks to extract fine spectral or temporal information from weak or structured optical fields. The successful candidate will work
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sytnhesis and functionalization, materials science, characetrization techniques and in vitro/in vivo prototype validation in relevant environments. The candidate will work as part of an international team and
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PhD Studentship: Autonomous robotics for enhanced water management, natural processes and resilience. Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,835 (2025