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applied to computer vision and image analysis. Analytical thinking and problem-structuring skills, including the ability to abstract complex systems, identify core research challenges, and develop
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, and where appropriate imaging, pathology and longitudinal clinical information. Apply statistical, machine-learning and deep-learning methods to identify metabolic programmes, infer metabolic state from
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vision, machine learning, computational imaging, surgical data science, biomedical engineering, medical image computing or a closely related discipline. They should have strong knowledge of AI, computer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
at the intersection of AI and cognition. Areas of research may include, but are not limited to, the effects of AI on learning, language processing, and other cognitive tasks; the development of AI-assisted technologies
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, with opportunities to lead analyses, develop new expertise and contribute to high-impact scientific publications, and must have: A PhD, or equivalent research experience, in computer sciences
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. Responsibilities* 1.Performs Diagnostic Images a. Corroborates the patient's clinical history with procedure, assuring information is documented and the exam ordered following patient identification guidelines. b
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imaging, biomedical instrumentation, image processing, or machine learning is desirable. Ability to follow technical protocols accurately and to maintain clear documentation of work performed. Ability
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, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with
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to: stand or walk with, push and/or pull, objects up to or over 50 lbs.; regularly sit at a computer workstation for extended periods of time while performing tasks with repetitive motions (such as typing
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stimulation (TMS), and transcranial direct current stimulation (tDCS) through interdisciplinary collaborations. Behavioral measurements and physiological recordings, including facilities for computer-based