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desirable: Advanced variable/feature selection (e.g., LASSO, Elastic Net, Random Forests, wrapper methods). Dimensionality reduction/feature aggregation (e.g., autoencoders, PCA, manifold learning). Pattern
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. The postdoc will become part of a dynamic, interdisciplinary, and inclusive team as a member of one of the department’s research groups https://www.uib.no/en/infomedia/102434/research-groups-and-networks
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to the AI-related research themes defined by LEAD AI host research groups in the call. It is essential that you discuss the details of the project idea with your potential UiB supervisor at an early stage in
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/research-groups-and-networks . The postdoc will also be associated with the interdisciplinary LEAD AI project at UiB, funded by The European Research Council. The Department of Information Science and Media
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pages, using a template based on the evaluation criteria), must be relevant to the AI-related research themes defined by LEAD AI host research groups in the call. It is essential that you discuss the
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. The position is external financed by the Norwegian Cancer Society and for the time being a part of the project “Defining a new cellular stress response pathway in cancer”. The project has temporary financing
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Europe Marie Skłodowska-Curie Action - Doctoral Network FluxBEATS that integrates geological observations, cutting-edge geochemical and biogeochemical analyses, data and modeling, from modern volcanic
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the possibility of a 4th year with career-promoting work (e.g. teaching duties at the Department) The position is funded by EU and related to the Horizon Europe Marie Skłodowska-Curie Action - Doctoral Network
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full-time PhD-position is available for a period of three (3) years. The position is allocated in the framework of a Marie Skłodowska Curie Action (MSCA) Doctoral Network “NUCLEAR” funded by the European
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satisfy the enrolment requirements for the PhD programme at the University of Bergen. We can offer: a good and professionally stimulating working environment including a comprehensive network of