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rational optimisation of plant-mycorrhizal symbioses for more efficient P use in agriculture. The modelling component will involve combining existing models of root system growth, rhizosphere processes and P
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to doctoral level in a relevant discipline and will have strong experience of applied research, combining data science techniques with experimental and systems-based methodologies. With excellent communication
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three years of postdoctoral research experience at the time of application. Applicants should also have: (a) deep understanding of data asset management and data governance logic, combined with
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is seeking a postdoctoral fellow in the area of thymic engineering. This project will combine various iPSC-derived thymic progenitors at the appropriate developmental stage with biomaterials that mimic
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Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and
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combining interdisciplinary approaches with excellent tractability of the zebrafish heart to study a long-standing problem – how organ form and function emerge during development. We are particularly
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respond to sound in ways that influence physiology, root function and pollination. This project will combine experiments, analysis and multiphysics modelling to establish credible mechanisms, limits and
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perception models used in robotic safety loops. Research on runtime assurance, uncertainty monitoring, and evaluation metrics for safe human-aware robot operation. A combination of education and relevant
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groundbreaking symbiosis of cutting-edge AI 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
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is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus. Specific days and schedule will be determined between you and your