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provides an opportunity to apply advanced informatics, artificial intelligence, human-computer interaction, and data science methods to understand and mitigate health disparities, enhance patient engagement
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students. Qualifications: Required: PhD in Computer Science, AI, Data Science, Statistics, or related. Strong skills in machine learning and deep learning, with a fundamental understanding of LLMs
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Learning and Deep Learning libraries (e.g., Pytorch, Tensorflow) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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leading research institutions, the University of Florida provides an exceptionally supportive environment for research. University support includes integrated and state of the art computer technology
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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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Education and Experience: Appropriate PhD in a related field. Preferred Qualifications: Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in
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profile: The ideal candidate will have: A PhD in biology, cognitive science, or an adjacent field (e.g. biomedicine, computer sciences); A strong academic track record, including high-quality publications
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, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational
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At the Technical Faculty of IT and Design, Department of Sustainability and Planning (PLAN), a Postdoc position in Satellite Data Processing and Machine/Deep Learning is open for appointment from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 9 days ago
, reasoning and problem solving skills. Ability to analyze and interpret statistical data and to communicate data in a clear, concise manner. Computer literacy including the ability to use a variety of software