2,356 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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will teach one class per semester in the Sanskrit program within Classics; courses taught in English translation are welcome. Courses that would be suitable for cross-listing in Religious Studies
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Abilities Strong quantitative and programming skills (e.g., MATLAB, Python, R). Solid background in signal processing, statistics, or computational neuroscience. Excellent written, verbal and computer skills
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI, including
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industry. Website http://gluck.ca.uky.edu/ University of Kentucky’s Ag Equine Programs, is a framework that encompasses everything equine in UK’s College of Agriculture, Food and Environment. As part of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce
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voluntary tax-deferred savings options Employee and dependent educational benefits Life insurance coverage Employee discounts programs For detailed information on benefits and eligibility, please visit: http
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job applicant at mathjobs.org https://www.mathjobs.org/jobs/list/27217and complete the application, with the requested supporting documents, for position PD26 under the Rutgers University-New Brunswick
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Posting Number R260030 Posting Link https://www.ubjobs.buffalo.edu/postings/61009 Employer Research Foundation Position Type RF Professional Job Type Full-Time Appointment Term Salary Grade E.89 Posting
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to detail, and willingness to learn new techniques Desired Qualifications Experience with mouse handling or in vivo tumor models Experience with flow cytometry or radiation biology Familiarity with scientific
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for soft materials, with particular emphasis on thermo–visco–hyperelastic behavior, integrating continuum mechanics, scientific machine learning (SciML), and computational physics. The project aims