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organization structure Computer skills including experience with Microsoft Word, Excel, PowerPoint, Adobe, or similar programs Working knowledge of University of Idaho business platforms including Banner, Chrome
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 1 day ago
, species distribution modelling. f) Ability to write scientific publication and reports; g) Outreach and science dissemination activities; h) Applicants should have a good knowledge in English (written and
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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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PROGRAMME (COMPETE 2030) AND BY NATIONAL FUNDS (FCT) UNDER CALL NO. MPR-2023-12, UNDERWAY AT THE FACULTY OF PHARMACY OF THE UNIVERSITY OF PORTO, UNDER A PRIVATE LAW EMPLOYMENT CONTRACT FOR AN UNCERTAIN FIXED
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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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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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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 22 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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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