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supported by the Cell-Scale Biomechanics Lab , and is part of the lab’s recent technology-development projects, aimed at improving the accuracy of drug efficacy screening for chemotherapy. A recent press
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reducing the environmental impacts of computational science. The tools and frameworks developed and maintained by the group are used internationally and include the popular Green Algorithms online calculator
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equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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acquisition of a range of environmental and operational data in the digitisation of food manufacturing processes for processing using applied AI techniques. We anticipate the successful applicant will develop
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to work independently and manage time across multiple research tasks. For further information about the post, please see the how to apply document, job description and the person specification. We offer
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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques
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ResTOrES project will develop, test, and demonstrate a prototype resilience assessment toolkit for offshore energy systems. The toolkit will enable the quantification of resilience in terms of appropriate
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that underlie typical and atypical developmental outcomes for children and young people, with a particular focus on developing evidence-based practice models of benefit to families, schools, teachers, community