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to the development of the project. Participation in the collection, organization and maintenance of databases and technical information generated by the working groups. Where to apply Website https://www.iisaragon.es
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 11 hours ago
educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits
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, electrical and optical characterizations. This position requires conducting translational research in next-generation large-area nanofiber acoustic sensor platforms in structural health monitoring applications
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and college teaching experience in a large, global, higher education institution. Position Type Academic Additional Information Northeastern University considers factors such as candidate work
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 02-Apr-26 Location: New York, New York Categories: Academic/Faculty Internal Number: 184213 The Center for Data
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to essentially any field of advanced science and technology which will prepare them for future careers in academia and industry. For further information about this PANIONS position, please visit: https
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plans with university match Learn more about working at UNL: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 5 days ago
planning. Apply knowledge of programs, policies, and procedures to interpret and communicate information to meet the specific needs of faculty, staff, and students. Responsible for quarterly budget revisions
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generous benefits packages to all employees. Additional information is available at: https://people.utoronto.ca/careers/benefits/ Additional information: Librarians at the University of Toronto are members
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(or comparable) Practical experience running large‑scale computational workloads on HPC or cloud infrastructure (e.g. job schedulers, parallelization, data latency). Ability to critically interpret computational