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dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical
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. Qualifications Required Qualifications: Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field. Experience with developing advanced pulse sequences
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, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
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neuroscience, focusing on sleep and glymphatic system function in health and pain pathology. Information on the department can be found at: https://ctn.ku.dk/ . CTN is part of the Faculty of Health and Medical
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environment for the pursuit of cutting-edge cardiovascular and metabolic research. We study the fundamental molecular, cellular, and physiological processes that underlie normal and abnormal cardiovascular and
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records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field
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of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs
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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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://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Engages in image acquisition with clinical MRI scanners. Post-processes and analyzes
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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