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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 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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, 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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, 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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-networked client hardware devices and software applications. Deploy computer images. Create and escalate work orders for IT personnel when issue cannot be resolved. Perform light maintenance on printers
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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
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research experience in data science, machine learning, deep learning, signal/image processing, biomedical data analysis, time-series analysis, clinical AI, or related computational research. - Strong
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and stress level is moderate to high. Noise level is quiet to moderate. Physical Activities Ability to work in front of a computer for extended periods of time. Occasionally required to move about the
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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, Electrical Engineering, or a related field. Strong foundations in machine learning, deep learning, computer vision, and at least one of 3D/4D vision, reinforcement learning, or robotics. Proficiency in Python