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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering
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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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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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treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We
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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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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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building. In addition, the Palma laboratory hosts a Scanning Probe Microscopy set-up (Bruker dimension icon), and has further access at QMUL to SEM and TEM. About Queen Mary At Queen Mary University
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ultrasound, Liposome drug delivery systems, in vivo imaging techniques, such magnetic resonance imaging (MRI) and near-infrared fluorescence (NIRF)/luminescence imaging. The candidate should have suitable
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic
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research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and metabolic function, and drive the translation of this strong basic