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, LROC, ROC, Image perception, mathematical/computational observer models. Both experimental and computational positions available. Skills preferred include any of these: Monte Carlo simulations, benchtop
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the Southern Hemisphere, the world-class Nicholson Museum of archaeological antiquities, the Macleay Museum of natural history and ethnographic collections and the University Art Gallery. Its outstanding
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required. All positions at the University of Houston-System are security sensitive and will require a criminal history check. The policy of the University of Houston-System and its universities is to ensure
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literatures: collective behavior, cultural evolution, computational social science, mathematical psychology, network science, collective intelligence, HCI, or the sciences of institutions, organizations, and
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engineering. Classes and student activities are conducted in English. Applicants are welcome and encouraged from relevant engineering disciplines, computer science, mathematics, and physics. The institute has
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
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offenses; have an honorable discharge from military, and a good credit history. Obtaining and maintaining a security clearance is a condition of employment. Required Knowledge, Skills, and Abilities: Ph.D
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A