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bias-corrected and downscaled climate data as input. The reconstruction of past floods from lake sediment records will be used to compare with model outputs, which will assess the models' ability
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(geostatistical) data analysis approaches (at least Excel and ArcGIS, but preferably also R and Grapher or similar) is a requirement Strong skills in statistical analysis and the handling of large spatiotemporal
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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modern globalization from 1500 to 1800. Funding for fieldwork, archival research, conference attendance and publications will be available to all members of the project. More information about the project
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for spoken language-based detection of clinical change. General information about the position: The position is fixed term for a duration of three years. Appointment to the position of Postdoctoral Research Fellow is
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other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable
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of patients. The candidate will contribute broadly to the project to enable the development of new algorithms for clinical AI based on patient data from heterogeneous sources, notably language/speech-based
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30 PhD and post-doctoral fellows, and a large number of master’s students. About the PhD project: The goal of the project is to develop a simulation tool that, based on meterological and map data, can
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for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe mental and neuropsychiatric disorders