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physically informed INP spectra into robust, computationally efficient parameterisations suitable for operational-scale modelling. The role provides an outstanding opportunity to develop expertise across
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, non‑pollen palynomorphs, plant macrofossils, XRF and tephra analysis), and in constructing robust age–depth models based on radiocarbon, 210Pb, and/or tephrochronology. Proven ability to publish in
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closely with biology and modelling colleagues in a vibrant interdisciplinary team. Key accountabilities / duties You will: Design, set up and deliver robust measurements of plant-generated acoustic
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express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance. We ask
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combined with human support. To learn more please visit https://www.kcl.ac.uk/research/embrace About the role The Research Fellow in Digital Health & Data Sciences is focused on the development and
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, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination. When engaging in the robust exchange of ideas, we ask that our community is
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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of Applied Psychology. For details, please refer to the link: https://research.nottingham.edu.cn/en/persons/hong-deng/ . Prof. Yanjun Guan is a Chair Professor at the Nottingham University Business School
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. You will work closely with technical teams to incorporate transcriptomic, proteomic, and other omics approaches, ensuring alignment across models and high-quality data generation to support robust
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of Concept (PoC) Stage 2 programme, ensuring robust analytical validation, prototype refinement, and preparation for commercialisation via spin-out or licensing. The role will combine advanced analytical