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Field
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sustainability assessment, or socioecological systems analysis Proficiency in Danish is considered an asset, particularly for data collection involving interviews or focus group meetings or discussions in Danish
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initiatives, and IECMH-focused evaluation partnerships. This position offers advanced training in applied research, project management, data analysis, and grant development, with opportunities to co-author
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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investigate dynamic phenomena and processes in the Martian atmosphere, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will
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commercialisation in the UK of AI-empowered autonomous machines and systems which are envisioned as transforming manufacturing productivity and sustainability, enabling a net positive future by empowering people
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-driven multi-sensory robotic avatars for remote collaborative physical work. The PhD fellowship position is located at the University of Oslo’s Department of Informatics (IFI) and is hosted by the Network
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and computational fluid dynamics (CFD) Knowledge about physics-informed neural networks (PINNs) Language requirement: Good oral and written communication skills in English English requirements
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests. The successful candidate will have the opportunity to join the science teams of three major Mars