11 condition-monitoring-machine-learning Postdoctoral positions at University of London
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, and recommend personalised treatment for musculoskeletal conditions. Key skills will include deep learning, convolutional neural networks and transformers, multimodal AI and fusion modeling. Imaging
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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-performance or cloud computing environments. Need strong data management and database skills, expertise in clinical phenotyping ontologies and the application of machine-learning/AI methods to biomedical data
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About the Role The role will work on a project focusing on the commericalisation of research-led monitoring, reporting and verification services for nature-based solutions. The role will involve
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processes using tools including CFD to consider mixing and ASPEN for overall process flowsheets. They will develop equipment for automatic monitoring of membrane performance, carry out performance evaluations
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the problem of induction”. How biological and artificial agents can use limited evidence to effectively learn and generalise is a long standing issue for psychology, AI/computational sciences, neuroscience and
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flexibility. The project will involve commissioning and maintaining a two-photon microscope, conducting in vivo calcium imaging experiments to monitor large-scale or long-range neuronal activity in mice during
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Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry. This post is within the School
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(EDI), and encourages applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or