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the later stages of the selection process. Given the nature of the activities, the position may be subject to security clearance and export control requirements. Diversity, Equity and Inclusiveness ESA is an
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for databehandling Utløpsdato: ett år Navn: CookieInformationConsent Leverandør: www.jobbnorge.no Databehandlingsansvarlig: Formål: Saves the selected language for the website. Utløpsdato: én måned Navn
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/ – Faculty of Natural Sciences http://www.au.dk/ – Aarhus University What we offer A full-time position. A role in an ambitious, research-intensive environment with strong international collaborations
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list of any works of a scientific nature (publication list with links) The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge
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international (e.g. EU) levels. Position Specific Required Qualifications: PhD in Environmental / Natural Sciences, Environmental Engineering, or a closely related field (e.g. environmental policy, environmental
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/or computational approaches. Expertise in applying computational and data-driven methods to humanities and social sciences research questions, such as machine learning, natural language processing
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the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The
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University of Natural Resources and Life Sciences, Vienna (BOKU) | Vienna, Virginia | United States | about 2 months ago
cooperation and transdisciplinary research. Important topics are climate change and global change, analysis and modelling of spatio-temporal (environmental) processes, natural hazards and risks, modelling
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for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. NTNU - knowledge for a better world The Norwegian
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for the position. Preferred selection criteria Experience or strong interest in one or more of the following areas is considered an advantage: Machine learning, deep learning, natural language processing or data