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that do not confer an academic degree, in the area or area related to that requested in the tender. Preferential factors: Have demonstrable experience in the use of machine learning algorithms applied
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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other lab staff on the design, preparation, and execution of experiments. Handle and train mice for behavioral experiments. Perform histology, dissect neural tissue in mice, and perform survival
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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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(ECLECTX team). This person occupying this position is planned to work on modeling computing elements, established and emerging, at different levels of abstraction, design and development simulation tools
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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