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aesthetics • Digital rights, privacy, and ethics of computation • Race, gender, and technology • Algorithmic bias, equity, and social justice • Design for Accessibility • Bio-art, Art–science, Data
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in the following areas: Computer Science, with emphasis in software development, algorithms, data structures, programming languages, and operating systems; and/or Cyber Defense, with primary emphasis
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, and oceanographers. For more information about the department, visit us on the web at https://cos.gmu.edu/aoes/. For more information about the College of Science, go to https://science.gmu.edu . About
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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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benefit as a part-time student. Additional information about Information Technology at S&T can be found at http://it.mst.edu/. Our ideal candidate: Learns and adapts to new environments quickly Follows
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project is to develop scalable and privacy-preserving Bayesian computational algorithms. The position is intended for two to three years, with an initial one-year appointment renewable contingent upon
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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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. Knowledge Graphs based on engine propeller combinator diagrams of the same vessels. Machine learning algorithms for data clustering and regressions of ship performance and navigation data sets as a part of
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. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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