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related to medical image analysis and modelling with an emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models) and, excellent communication and
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extent to which the Creative Health GM Place Partnership is able to facilitate the sustainable embedding of creative health approaches and will coordinate the identification, collection and analysis
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. analysis of large language models. All such issues require an understanding of the socio-technical aspects of AI. Please indicate in your application whether you are applying for a Lectureship or Senior
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the project Perform model-based optimisation Utilise the integrated model to perform extensive techno-economic (TEA) and sustainability analysis You should have, a PhD (or equivalent) in chemical engineering or
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, supervised project management, literature reviews, data analysis) and a strong understanding of qualitative methodologies. You will be a talented, self-motivated, independent researcher with drive, enthusiasm
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, high-dimensional data analysis, and uncertainty quantification. We expect a genuine commitment to and enthusiasm for both teaching and research and the development of others. The successful candidate
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are at high risk of heart disease in future. The role will involve coordinating existing and new studies including data management, ethics, coordinating the logistics of stored blood sample analysis, reporting
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); both tumour biopsies and liquid samples. There will also be the opportunity to support the development and the validation of other methodologies within the group for analysis of clinical samples
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, and data analysis techniques. Due to the different research skills and knowledge required, there are two separate adverts for these different roles. This project is funded by NGET under the Network
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and mercury porosimetry alongside imaging techniques (including X-ray imaging and electron microscopy) to conduct comprehensive porosity analysis for nuclear graphite of different grades. The applicant