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Field
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these technologies have for human expertise, and how professionals learn to work with these technologies in constructive and trustworthy ways. Emerging epistemic technologies such as algorithmic or AI-powered
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
reusable libraries in Python, Scala, and/or C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding
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predictive analytics Human factors, behavior science, and patient-centered design Advanced computing and scalable algorithms Decision science and learning health systems design Qualifications Required: Ph.D
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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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) for Computational Biology and Bioinformatics are available in the Qiu lab at the University of Illinois at Chicago (UIC). Dr. Yuchi Qiu (https://yuchiqiu.github.io ) is a tenure-track Assistant Professor in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales
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Postdoc Appointment Term: Rolling Applications Group or Departmental Website: https://med.stanford.edu/pain/medical-training/postdoc-fellowship.html(link is external) How to Submit Application Materials: We
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty