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natural language processing or computational linguistics Familiarity with educational assessment or psychometrics Knowledge of inter-annotator agreement statistics (Cohen's kappa, Krippendorff's alpha
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as assigned Unit URL https://www.uidaho.edu/tribal-relations Position Qualifications Required Experience Three years performing administrative, office and/or program support functions Required
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applications from designers and design researchers who can envision, visualize and make tangible complex scenarios for uncertain futures. About the Munich Design Institute: The newly established Munich Design
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 13 days ago
-five a recruitment procedure is hereby opened for the hiring of one (1) Senior Technician under an individual employment contract for an uncertain term, for the within the scope of Project ICDT 15681
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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on the basis of qualifications and interview, supplemented by a test of knowledge of the foreign language (see Art. 1 par. 1 Call for applications). Website for additional job details https://pica.cineca.it
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
of the dynamic environment of the university setting with the ability to adapt to changing and uncertain conditions, while maintaining flexibility, composure, professionalism, and a positive attitude
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operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-02218300, co-financed by the European Union through the COMPETE 2030 Programme, of Portugal 2030, in the form of a Uncertain Term
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the Grant Agreement no. 101168119 — ZEROWASTE — EDF-2023-LS-RA-SMERO, funded by the European Commission in the scope of the Horizon Europe Framework Programme, in the form of an Uncertain Term Employment
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active learning are likely to be central: methods that tell you which experiment to run next to learn the most, and that give you honest uncertainty estimates alongside their predictions. Turning uncertain