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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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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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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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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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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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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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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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with research interests in FinTech (including cryptography and blockchain, AI, data visualization, analytics, business modeling, process automation, algorithmic trading, technology forecasting and