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by researchers using state-of-the-art artificial intelligence (AI) and machine learning models. These insights will contribute to broader industry and academic discourse on POAO and agri-food value
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4.5 months, Fixed Term, whole-time Post Applications are invited for the position of Post Doctoral Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning
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machine learning aspects of this AI-assisted semantic tagging and fuzzy logic search tool. The Postdoctoral Researcher on the project will work on a project related to an aspect of the hip-hop-specific
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analysis of focus group discussions with healthcare professionals (HCPs) to better understand their learning needs and educational priorities regarding secondary stroke prevention. This will include
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catalysts used in chemical processes. The successful candidate will combine state-of-the-art quantum chemical modelling alongside machine learning techniques and contribute to the development of predictive
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relationships. • This role requires excellent communication and interpersonal skills, computer literacy, organization and an awareness of time management. EXPERIENCE REQUIRED: • Qualified Nurse (Mandatory RGN
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improvements in computer chips slows down or ends, by pioneering modular integrated circuit-based (chiplet-based) semiconductor design and integration. With deep expertise in the areas of Heterogeneous
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cases) and radiomic features predictive of school-age MRI extracted. Machine learning algorithms of radiomic features predictive of future brain development will be developed. Furthermore, a novel
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interpersonal skills, computer literacy, organisation and an awareness of time management. WAYS TO GET IN TOUCH: For informal enquiries: [email protected] or [email protected] Apply with your CV through
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working with electronic health records or primary care data. Knowledge of predictive modelling or machine learning applications in healthcare research. Experience in clinical trials. We are all too aware