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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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(IIoT) sensors, real-time data analytics, machine learning algorithms, and Digital Twin technologies to monitor equipment health, predict failures before they occur, and recommend optimal maintenance
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discipline. This project is particularly suitable for candidates with an interest in one or more of the following areas: Artificial Intelligence and Machine Learning Generative AI and Large Language Models
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strands. • Bespoke modelling of tumour metabolic function using 3D and 4D imaging data • Cancer patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics
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Researcher in The School of Chemistry. The InTeleCat project involves the use of machine learning and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US
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following areas: Robotics and Autonomous Systems Artificial Intelligence and Machine Learning Wireless Communication Systems Ultra-Wideband (UWB) Technologies Industrial Automation and Industry 5.0 Industrial
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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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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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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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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