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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Posting Information Posting Details Department Applied Physical Sciences - 318100 Posting Open Date 09/23/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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research. The position will provide opportunities to lead manuscripts and presentations, work towards developing an independent research program, contribute to grant applications, and pursue different
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and assistance to other laboratory team members. Act as a mentor to students. Maintain laboratory instrumentation and follow applicable safety standards. Qualifications: PhD in Chemistry or related
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software developers, academic collaborators, and program partners. This position is based in Boston, Massachusetts, and comes with an initial two-year appointment. Renewal is possible, subject to funding and
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have the opportunity to contribute to various cutting-edge research areas. Several exciting research topics are proposed (not limited): Computer Vision / Remote Sensing for Agriculture: Explore
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research and education, in the development and use of computing. - home to the largest and fastest HPC infrastructure in Africa named “TOUBKAL”. Job Description: A postdoctoral position is currently
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, Professor Shouhuai Xu. This position will work on challenging but exciting space cybersecurity research problems, collaborate with PhD students who work on the same or related problems, mentor junior student
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc position in 3D Computer Vision, remote sensing ... The Laboratory of Visual Intelligence
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 16 days ago
of the relationship between process-induced microstructural variability and mechanical performance. The broad vision of this work is to develop computational tools and frameworks that connect microstructure