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and digital artmaking, digital tools, computer programming for art, interactive art, robotics, 2D animation, 3D animation, stop-animation, and digital illustration. The department seeks to add to its
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multi-modal image registration, based on state-of-the-art machine learning approaches. The developed methods will be applied for ultrasound-based navigation in a novel ultrasound engine designed to drive
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interfaces with imaging platforms. Operation of ARTIS Pheno hybrid IR and Vascular imaging rooms. Able to produce and modify quality post operative imaging and be able to identify appropriate anatomy. Job
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for procedure by using established protocols to achieve the highest quality image. Follows protocols specified by the Radiologist. Enters complex data into the computer system. Reviews, verifies and evaluates
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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of full-time related technical experience. Preferred Qualifications: Experience with conventional milling and lathe work, 3 Axis CNC machining, welding and/or prototype machining. Experience or training
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understanding of basic computer programs. Abilities Ability to communicate verbally and in writing to a diverse population. Ability to understand and follow specific instructions and procedures. Ability
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. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and
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Knowledge, Skills and Experience Proven experience with machine learning model design and implementation, particularly in computer vision tasks (image classification, object detection) Strong programming
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission