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Field
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responsible for delivering and coordinating the Aortic Stenosis (AS) arm of a prospective clinical imaging research study. The post-holder will oversee the day-to-day running of the patient pathway from
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: Master's degree in Biomedical Engineering, Electrical Engineering, Computer Science, or a similar field. Minimum profile: Experience in biomedical image processing., Knowledge of machine learning/deep
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), ventricular assist devices (VADs) and extracorporeal carbon dioxide removal for respiratory and cardiac failure. Qualifications Currently enrolled in a general surgery postgraduate training program or Completed
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Engineering Bachelor program, and to conduct fundamental and applied research in any of the following areas of mechanical engineering: audible and ultrasonic acoustics, aeronautics, bioengineering and sports
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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presentation skills, with the ability to engage effectively with diverse audiences. Highly organised with strong planning, research, and computer literacy skills to manage research projects and administrative
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imaging. Within our research program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc
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, engineering and math (STEM) fields — as well as those interested in working on projects across multiple mentors are also strongly encouraged. To receive updates about the application process, please subscribe
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program, you will perform grant funded research developing novel algorithms or building new dynamic imaging systems that account for patient motion (breathing, cardiac, etc.) during medical imaging and
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, if applicable. Enrolment in Master's degree in Informatics or Informatics Engineering. Work plan: The objective is to develop a prototype system for the registration of medical images, namely ultrasound and MRI