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of Department of Ophthalmology in the University of Colorado School of Medicine focuses broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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of Medicine We focus broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images, OCT scans, MRI, CT, X-ray and digital pathology). We bridge
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cutting edge technologies incorporating techniques such as in vivo Ca2+ imaging, electrophysiology, bioengineering, brain computer/machine interfaces, neuromodulation and/or computational approaches
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Qualifications Entry Level Bachelor’s degree in biology, molecular biology, chemistry, genetics or related field A combination of education and related technical/military/paraprofessional experience may be
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Program Director of Student Outdoor Learning Experience - 37995 University Staff Description Program Director of Student Outdoor Learning Experience Campus Recreation Elevate Your Career at UCCS
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assisted instructional tools in the skills laboratory and classroom settings for teaching, learning, practice, and assessment of clinical competencies. · Promote accountability among students by
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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of fundamental aspects of visual function, and in particular means of creating artificial vision through neuromodulation, retinal or brain prostheses, or other brain-computer interface. We especially encourage
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: Develop new computational approaches to analyze and integrate large collections of biological data (including genomics, transcriptomics, pathway/process, drug data). Build machine learning models