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four main objectives: - Design and fabricate foam-bonded granular materials, by controlling formulation parameters, shaping processes, and binder solidification. - Characterize the microstructure
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https://emploi.cnrs.fr/Offres/CDD/UPR4301-LAELEG-068/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation LevelPhD or equivalent
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doctoral levels, Georgia Southern has been designated a Carnegie Doctoral/R2 ¿high research¿ university and serves more than 29,500 students from all 50 states, Washington D.C., and Puerto Rico as
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required to work on public holidays and also the “Other” days as designated. The successful applicant will be subject to security checks by Agenda Screening Services. Closing date: 7 October 2026 As a valued
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for Northeast Texas and beyond. For more information, please visit https://www.uttyler.edu/about . Why work for UT Tyler? Find out more: Why Work for UT Tyler? Additional Information The retirement plan
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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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environment. As Assistant/Associate Professor Entrepreneurship & Business Development, you combine two roles: firstly, developing and teaching entrepreneurship, innovation and business modules within UCV while
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
The Assistant Director of Learning Systems & Faculty Support provides school-level leadership and expertise in instructional design, curriculum support, educational assessment, and learning systems to enhance
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contribute to: - the design of the cavities, which will then be fabricated at C2N; - the realization of advanced optical spectroscopy at cryogenic temperatures. This will include photoluminescence
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). This thesis aims to investigate how to design argument mining systems (detection, classification, and extraction of argumentative relationships in texts) that minimize biases introduced by training data