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, biochemical, ecological and physiological measurements and experiments with remote sensing and numerical modelling to create in-depth understanding of the processes that control estuarine and delta systems. One
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infrastructure and facilities, such as the Life Science Imaging Centre (https://research.hkbu.edu.hk/resources/facilities-and-labs/hkbu-life-science-imaging-centre ). Being part of a rapidly evolving research and
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(Casson lab, https://www.sheffield.ac.uk/biosciences/people/academic-staff/stuart-casson) to develop the first comprehensive picture of chloroplast replication. In addition to opening up a new dimension of
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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tissue. As the successful candidate you will have a PhD in instrument development or be due to complete doctoral studies within 6 months of applying. Ideally you will have experience of light sheet imaging
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 5 days ago
biomedical imaging applications Your profile Master’s degree or PhD in Physics, Optical Engineering, Photonics, Quantum Engineering, Biomedical Engineering, or a closely related field, with a focus on quantum
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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police clearance check may form part of the selection process. For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie
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manufacturing and manufacturing process. Are you a postdoctoral researcher or a PhD candidate who is about to graduate and has a passion for metal additive manufacturing, machine vision, data acquisition
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a