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The Small Fruit Breeding Program at Auburn University is seeking a breeding data manager and curator specialist (Post Doc Fellow) to support the research activities of a USDA Specialty Crops Research
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focuses on translational research at the intersection of bioelectronics, healthcare-focused nanofabrication, and emerging applications of machine learning in radiology. Our team operates within a state-of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Position Title Post-Doc Research Associate Vacancy ID PDS004582 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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to hire a Post-doctoral Research Fellow. Comprehensive Center for Brain Health is directed by Dr James E. Galvin, MD, MPH, Professor of Neurology and Psychiatry & Behavioral Sciences. CCBH is a state-of-the
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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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, particularly on measurements and searches using jet substructure and development of advanced techniques in particle tagging, including applications using machine learning, and are expected to take leading roles
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
machine learning. Preferred Qualifications, Competencies, and Experience NA Special Physical/Mental Requirements Special Instructions Apply online at, https://unc.peopleadmin.com/postings/301305 with a
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other