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well as with an international team of collaborators including clinicians, computer scientists, and mathematicians. The team is dynamic and ambitious as well as being welcoming and supportive. The applicant
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focused on using advanced numerical methods to explore low energy dynamics in strongly interacting quantum spin systems. The candidate will develop and implement advanced algorithms to investigate
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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Infrastructure? No Offer Description This project is part of the European ERC Synergy project Karst https://erc-karst.eu/ , which aims to develop a predictive flow model for an entire karst network. We will
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Ecological Sciences at the University of Liverpool (UoL), UK. The position is funded by a Natural Environment Research Council (NERC) Pushing the Frontiers award 'CALDERA: Collaborative Approach to integrate