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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning applied to natural language processing, computer
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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Education: PhD in cell biology, physiology, pharmacology, pathology or related fields. Preferred Qualifications Work Experience: Experience with small animal experimentation, genomics, tissue/cell culture
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Payroll Designation PeopleSoft Benefits Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Seniority Unit
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, and measure success. Basic Qualifications: A PhD in computational or theoretical physics, chemistry, materials science, or other closely related field completed within the last 5 years. Experience with
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at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing
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robust professional development opportunities, and a competitive benefits package designed to support your career and well-being. Learn about NREL’s critical objectives: NREL's Mission and Vision . Job
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: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics