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degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch
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provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Teaching duties will
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and student progress. The full job description is available, here: https://acrobat.adobe.com/id/urn:aaid:sc:us:7b4d74ec-8a2b-443e-86c2-0917622fa2cc REQUIRED: A Bachelor's degree; a minimum of three
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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to complete work more efficiently. Contribute to shared goals by fulfilling your responsibilities. Learn new software or digital platforms as needed for your role. Essential Functions Walk and inspect residence
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 6 hours ago
, for the academic year 2026-2027, with the ability to teach in one or more of the following Arts departments and disciplines: Art and Art History Creative Writing Film Studies Music Theatre The academic year 2026
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studies the neural mechanisms of fertility and mating behaviors in C. elegans and D. cerebrum. For more information about our work, visit: https://as.nyu.edu/faculty/emily-bayer.html This position is based
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to provide an opportunity to develop technology transfer skills by working alongside a team of licensing professionals. The Licensing Associate will work closely with the Director of Licensing to learn all