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, mouse genetic, imaging, physiological, behavioral, and optogenetic techniques. For more information about our lab, please go to https://umemorilab.wordpress.com/ . The Research Assistant I will be
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
state-of-the-art imaging techniques with software-supported analysis of flow dynamics and mathematical modeling for the precise characterization of hemodynamic mechanisms in atherosclerosis. In research
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science/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
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requisition for exam to be performed. Takes appropriate scans to determine areas of possible pathology. Modifies testing parameters, under direction, to ensure accurate imaging. Processes and archives images in
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posts instead. Prior to application, further information (including application procedure) should be obtained from the Work at UCD website: https://www.ucd.ie/workatucd/jobs/ Where to apply Website https
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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, collaborative environment, the technician will play a key role in supporting equine patient care across multiple services, including surgery, anesthesia, and diagnostic imaging, while working closely with
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Management, and IT). The research conducted at the L2S focuses on the fundamental and applied mathematical aspects of control theory, signal and image processing, information theory, and communication
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lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications