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Field
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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
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limited understanding of climate transition instruments and their integration into corporate sustainability strategies poses a significant barrier to achieving net-zero emissions goals. We are seeking a
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and heightened geopolitical tensions. Illustrations of such vulnerabilities are, but not limited to, telecommunications networks and state-level digital platforms, which have potentially far-reaching
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functional neuroimaging, histology and digital microscopy, and behavior analysis. The lab’s websites are: http://hechtlab.org/ and http://caninebrains.org The Evolutionary Neuroscience Lab is supported by