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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 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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various other CU departments. Instruct new personnel on customary procedures and practices to ensure compliance with university, military, and department policies based on interpretation of program
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Assistant Teaching Professor - Electrical and Computer Engineering - 38303 Faculty Description The University of Colorado Colorado Springs will not sponsor work visas or permanent resident
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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to know your total compensation? Use our calculator to get the complete picture! Summary The Department of Electrical and Computer Engineering (ECE) at the University of Colorado Colorado Springs (UCCS
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nationally as a part of two multi-center studies and will be responsible for study coordination, participant recruiting, consent, scheduling, performing study visits, processing of research blood samples and
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on AI/ML applications in biomedical imaging. Experience in programming Experience in machine learning and computer vision techniques, with emphasis on LLMs and generative AI. Experience in applying ML/CV
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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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communication and organizational skills Knowledge of basic laboratory safety Computer skills including Microsoft Office, Powerpoint, and Excel Flexible work schedule, including some weekends and occasional