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research on artificial intelligence, machine learning, and other technological advancements that support the creation of accessible media. Policy and Regulation: Analyzing the impact of existing legislation
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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on the hiring manager’s preferences and should include things that can be learned or trained for. Preferred Schedule: Monday - Friday 8:00-5:00 Position Requirements: Specifications Appropriate experience may be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
professionalism, enhance learning, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our
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) empowers teams of William & Mary students and faculty to make a difference in the world. We are a multidisciplinary hub that applies scholarly research to real world problems, investing in outstanding
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. Assist in the mentorship of junior lab members ? Learn transferrable skills to become a successful PI Act as a subject matter expert for the team in DNAm, biomarkers of mental health risk, and statistical
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field experiments, network effects, machine learning, or data analytics to contribute to ongoing research projects; Have advanced quantitative methods training and ability to work with one or more of the
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Department. The position will mix basic machine learning research with applied work in clinical decision support (risk assessment, prognosis, treatment planning, etc.), in collaboration with scholars and
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information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software tools and products. Experience in writing scientific papers and successful
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to providing a place of work and learning free of discrimination on the basis of a person’s age (40 or older), disability, whether actual or perceived by others (including service-connected disabilities), gender