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texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist
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Adaptation of Existing Buildings. This is an exciting opportunity to contribute to research at the interface of computational geotechnics, data-centric methods, sustainable infrastructure, low-carbon energy
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of methods for tasks such as data harmonisation, phenotype representation, genomic analysis and patient or gene prioritisation. Working within research high-performance computing (HPC) environments
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. Preferred Qualifications: The preferred candidate will have experience in all modern microbiological methods, and a strong interest in learning recombinant protein purification and associated biochemical
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registration Completed core medical training and currently in higher specialty training Interest in translational cancer research Understanding of clinical research methods and GCP Experience in academic
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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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computational methods will be a distinct advantage. The appointee should be able to take up teaching duties in some of the courses on the MSocSc Programme in Sociology and Data Analytics, including but not
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, or be awaiting their viva. Ideally, you will have experience with the numerical analysis and computational approximation of PDEs using the finite element method. Experience with degenerate parabolic
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applicants with a strong background in machine learning and statistics, who are eager to contribute to cutting-edge methods for generating private and fair synthetic data with good utility. This project
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of extracting behavioural insight from increasingly complex and high-dimensional datasets? Would you like to help shape the next generation of behavioural modelling methods with applications in transport, health