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Field
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-of-the-art AI research. Centered around three core research groups—the Mathematical Intelligence Group, the Domain Intelligence Group, and the Physical Intelligence Group—AIP is dedicated to establishing
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credible claims of quantum advantage. Develop and apply physics-informed AI/ML and digital-twin capabilities to improve modeling, parameter inference, uncertainty assessment, and adaptive feedback between
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to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will adapt existing and develop
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regulation of protein-protein interactions and biochemical activities at the mitochondrial level (see Gökerküçük et al., Autophagy 2023 DOI: 10.1080/15548627.2023.2179845; Jolivet, Desmaison et al., Adv Sci
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or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences
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create healthy physical activity-related habits. As a postdoctoral researcher, you will lead the development of an innovative AI-enabled recommender system for urban (re)design. The system will combine
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to specifically adjust targeted gene expression to reshape complex traits. The project will develop a breakthrough science-enabled technology platform to improve tomato heat, drought and nutrient deficiency
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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their electrochemical performance with chemical change. This position resides in the Chemical Dynamics Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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that explicitly capture uncertainty, adapt dynamically to new information, and sequentially optimise survey strategies in a transparent and robust manner. ARCHAI, a new fully funded interdisciplinary research