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We are seeking a Research Associate with expertise in machine learning and causal inference to join the University of Manchester spoke of “CHAI hub: Causality in Healthcare and AI”. The CHAI hub
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Applicants are invited for the posts of Postdoctoral Research Associate or Research Fellow in Machine Learning to work with AI Researchers in the Centre for AI Fundamentals at the University
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, Organometallic, Organic Chemistry and Machine Learning for a period of up to 36 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
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, using machine learning Manchester has a long and distinguished track record in the research and teaching of core Computer Science, and across interfaces to adjacent disciplines. Founded upon
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with
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. This is part of a collaborative project aiming to help children with Cerebral Palsy by diagnosing hip problems early. The successful applicant will use machine learning techniques to automatically identify
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A University of Manchester The University of Manchester enjoys a global reputation for its research and its innovative approach to learning and is one of the largest single-site universities in
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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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/machine learning software development, and even writing software for GPUs or supercomputers. The Person The successful candidate should be able to demonstrate: Currently in the second year of a relevant
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on chemotherapy response score (CRS). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. If successful, you will have an opportunity to apply