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Field
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design, software engineering, theory of computation, analysis of algorithms, programming languages, artificial intelligence, and computer networks and security. The responsibilities of the position include
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solutions. Experience in the consulting industry is preferred. 2. Education & Experience Ph.D. (strongly preferred) or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a
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qualifications, the ideal candidate will bring many of the following: 1. Master's degree (or higher) in Electrical Engineering, Computer Engineering, or Computer Science 2. Demonstrated, effective interpersonal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate. * Developing computational and algorithmic approaches to understanding the neurobiological mechanism of neurodisorders. * Interact
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lab performs research on the theoretical analysis and computational implementation of optimization algorithms. Please see the OAT Lab webpage to learn more about our research: https
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network modeling to address real-world policy challenges through algorithm development and technical analysis. Key Responsibilities Conduct original research in generative AI Train and supervise graduate
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Internal Number: 259338 Position Summary: Rutgers School of Health Professions (SHP) is seeking a Graduate Assistant to work in the Health Informatics Department. The laboratory of Dr. Antonina Mitrofanova
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environmental engineering (candidate status) and a demonstrated record as a lead author on publication(s) using machine learning algorithms to forecast water quality. Fluency with open source coding languages (R
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demonstrated ability to apply these techniques in the biomedical or health informatics domain. Strong algorithm development and programming skills are required, along with excellent teamwork and communication
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing