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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance
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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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assist others in the proper use of high quality computer operated microscope systems to include widefield, Confocal, and 2-photon microscope systems. As a successful candidate you will: · Train
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source, Hereon jointly operates several beamlines. The Imaging Beamline P05 is optimized for micro- and nanotomography techniques with a strong focus on material science and life science applications
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, Artificial Intelligence, Electrical Engineering, or a closely related field. Demonstrated expertise in Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision
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interpretation, equipment operation, and radiation safety protocols. Essential Functions Assist students in identifying anatomical structures and pathological findings on radiographic images Help student groups
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Computer Vision and Image Processing to lead the course, "Machines that see," which introduces students to core computer vision concepts, a vital area of AI. This role involves delivering expert instruction
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to apply for a faculty or staff position, please review this tip sheet . Imaging Equipment Engineer 1 The University of Miami/UHealth department of Clinical Engineering has an exciting opportunity for a Full
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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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accessible through optical imaging. In this context, the team is developing a groundbreaking cellular-resolution imaging technology, the AO-RSO (Adaptive Optics Rolling-Slit Ophthalmoscope). This system