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pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and open datasets for plant acoustic emission and reception. We are recruiting a
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role in designing composites materials using inorganic solid electrolytes using computational modelling and machine learning. Qualifications • Ph.D. in Materials Science, Chemistry, Physics, or a
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–dielectric–metal resonator platforms. The project develops hyperuniform disordered metasurfaces, a novel class of photonic structures in which structural correlations are precisely controlled to achieve
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species including dairy cattle in the USA; this large reservoir of infection has substantial implications for both human and animal health. Using a range of modelling and statistical approaches
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structural and functional data, will present new routes to improved control of spores. You will use modelling and simulation tools to perform molecular dynamics simulations of SleB and of some of its partner
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proficiency in machine learning, statistical modeling, and data analysis using Python, R, or similar platforms. Experience in grant proposal writing, scholarly manuscript preparation, and psychological
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formal language theory Computational models of language acquisition, especially building models for phonological and syntactic learning Mechanistic interpretability and controlled evaluation of language
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endpoint assessment using a larval zebrafish model. EPA performs research to develop new tools and methods to facilitate the efficient testing of chemicals for important adverse effects including thyroid
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dispensations (the Apostolic Penitentiary, the Dataria, and the Holy Office), with the aim of modelling how dispensation functioned in the Christian, and later Catholic, world (PIs: Arnaud Fossier, Jean-Pascal
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local