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                UiO/Anders Lien 5th December 2025 Languages English English English Postdoctoral researcher in Active Learning for Arctic observing systems Apply for this job See advertisement About the position 
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                Learning for Arctic observing systems Apply for this job See advertisement About the position Position as Postdoctoral Research Fellow available at the Department of Geosciences. Starting date is preferably 
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                collaborative and open environment? If so, the Oak Ridge National Laboratory’s Learning Systems Group within the Data and Artificial Intelligence Systems section invites you to apply to our new postdoctoral 
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                Research Associate to develop and apply scalable artificial intelligence (AI) / deep learning (DL) methods to advance multi-scale coupled physics simulations in support of the missions and programs of the US 
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                application! We are now looking to appoint a postdoc in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in 
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                application! We are now looking to appoint a postdoc in the field of AI and machine learning with a focus on scientific applications. Work assignments The primary focus of the postdoc positions is research in 
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                of machine learning (ML) and quantum many-body physics. We are also happy to work with experts in one of the two fields who are committed to learning the other. Moreover, we look for interest in developing 
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                safety properties of perception systems that encompass learning-based models. Develop methods and tools for automatic/procedural generation of relevant operational conditions Inform and educate 
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                The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Acoustic Sensing and Machine Learning for Sustainable Battery 
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                Educational Master – and conducts research across a wide variety of domains in each of these fields. The faculty’s vision can be summarized as: “With trust, in connection, through continuous learning.” The FPPW