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the Ice Sheet and Sea Level System Model (ISSM). and/or The development of automated (e.g., machine learning) approaches for mapping glacier-surface morphologies on Mars. You will join a cutting-edge
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 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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public at large – are informed about related social, ethical, political, and economic impacts; Developing, deploying, and evaluating digital technologies in applications across diverse sectors critical
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experienced by hypersonic vehicles and quantifying the overall uncertainty. The candidate will assume the role of a software developer in the Computational Fluid Dynamics (CFD) and Propulsion Laboratory, a
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on literature from mathematics, computer science, robotics, and game theory. Join a growing research group developing state-of-the-art algorithms for agentic decision making. About us The Department of
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) Paid Parental Leave Professional Development Opportunities Quicklink for Posting https://uscjobs.sc.edu/postings/199975 EEO Statement The University of South Carolina does not discriminate in educational
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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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technological dissemination initiatives, particularly in the field of Physical or Electrical Engineering . Development of algorithms, support for the installation of the DAS, and real-time event monitoring. WORK
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of Engineering and Computer Science, see: https://www.csun.edu/engineering-computer-science About the Department: The mission of the Computer Science Department is to prepare students for rewarding careers and
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inside densely packed biofilms and to characterise the stimuli they encounter. To overcome this, our lab has developed powerful techniques to “see inside” biofilms. Using microfluidic devices and advanced