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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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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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) 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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party within 90 days before the expiry date of the initial contract or of the renewal, based on an unfavourable evaluation of the work developed by the post-doctoral researcher, carried out under
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structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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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
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that intersect with organizational, behavioral, or technological systems, and go beyond algorithm development to explore social and community impacts of data-driven solutions, are of particular interest