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for Disaster Reduction), UAL’s CRiSAP (Creative Research into Sound Arts Practice), and other partners. By drawing connections between historical and contemporary images, texts, and sounds from both risk
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and temperature on overall mechanical response, and will have the opportunity to field high-speed imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and
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imaging, digital image correlation, laser velocimetry, and related techniques to enhance the type and level of detail extracted from these experiments. As part of this role, you will work closely with other
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare. The Research Department
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About the Role The successful candidate will be responsible to carry out a project in the field of Cardio-Immunology using in vivo and in vitro techniques, including flow cytometry and imaging. She
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access to data from AIMS-2-TRIALS, the world’s largest multimodal, longitudinal autism study; the South African BONO cohort, and the SLAM Image Bank, one of the world’s largest, real-world imaging/clinical
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skills Knowledge of university processes and structures Experience abroad Experience in research in a medical context/with clinical populations Experience in research with digital interventions Strong
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of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to investigate how signals beginning in the retina and transmitted through different visual pathways