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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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design, and help predict failure mechanisms during LAT production. There is also scope to develop coarse-grained computer simulations (e.g. dissipative particle dynamics) to expand the chemical and
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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will be based in a research laboratory environment with standard laboratory conditions. Must be able to work at a computer for extended periods for data analysis, molecular modeling, and manuscript
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skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 18 hours ago
engineering or related fields. The ideal candidates will be rising sophomores or juniors with experience using Python or Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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: hr.ufl.edu/benefits Required Qualifications: Applicants must hold a Ph.D. or equivalent degree in pharmacometrics, clinical pharmacology, mathematics, statistics, computer engineering, biomedical engineering
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images