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Field
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Computer Science, Computer Graphics, Virtual Reality/Augmented Reality, Software Engineering, Database Systems, Algorithms, and Artificial Intelligence. In addition to teaching, the position requires weekly office
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contact, as identified by AFRL through recent past efforts. This includes the implementation of relevant algorithms and solvers for distributed GPU computing within the JAX Python library. Qualifications
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» Mechanical engineering Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 15 Feb 2026 - 23:00 (Europe/Lisbon) Country Portugal Type
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
technologies to scientific research study and experiment design, big data mining and processing, algorithm development, and complex computational analysis. They have expertise in the ethical issues of using AI
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. The School of Computing (formerly Computer Science Department) has well established Ph.D. and M.S. programs, an accredited B.S. program in Computer Science, and an M.S. program in Information Systems
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Credentials Preferred Qualifications Master’s degree in educational technology, Computer Science, Data Science, Artificial Intelligence, Instructional Design, or a related field. A strong foundation in both AI
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(SMADS) within the College of Arts and Sciences (CAS). SMADS is currently home to majors in Data Science, Mathematics, and Statistics, along with minors in Computer Science, Data Science, Mathematics, and
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Job Description OVERVIEW: The Computational Ophthalmology Lab is leading collaborative efforts on large multidisciplinary research projects, using Big Data and machine learning. The Research
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Full-time Hours Per Week 35 Offer Starting Date 30 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Aviso n.º 1742/2026/2 | OE202601