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leading physicists. • Advanced Laboratories: Engage in research using state-of-the-art facilities. • Advanced High Performance Computing Cluster: Run advanced simulations and analyze them using numerical
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: Study and continuous development of fatigue testing equipment under uniaxial regimes (tension–compression; torsion
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Concerns only the citizens of the People's Republic of China (https://gec-csc.fr
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cytometry and molecular pathology laboratories. · IUHPL serves as the centralized anatomic and clinical pathology testing facility for numerous IU Health hospitals and affiliated clinics performing 19 million
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filled out, dated, and signed, is available at https://www.ua.pt/file/78384 . 2.4 — Submission of the application: 2.4.1 — The application may be submitted in Portuguese or English, by email, to the Human
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: JOB_POSTING-3-13511 Job DescriptionProvide comprehensive admissions services to prospective student. Complete numerous functions related to the processing of admissions applications and supporting
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matrix could better resist to fire than the ordinary concretes [9,10], however no numerical simulation has been carried out to confirm. Description of the work: The PhD thesis includes two phases
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem