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technician consisting of experimental chemists, computational chemists, and computer scientists specialising in AI. You are also expected to have the opportunity to engage with events, training and personal
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should hold a masters and PhD level qualification in a relevant subject (e.g. Bioinformatics, Computational Biology, Computational Systems Biology, Data Science, Biostatistics, Machine Learning
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-assisted surgical task execution; Machine Learning (ML) for multimodal tissue characterisation for computer-assisted diagnosis and decision making. The post is funded by the CRUK grant “Cancer surgery at
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surgical navigation during robotic-assisted surgical task execution; Machine Learning (ML) for multimodal tissue characterisation for computer-assisted diagnosis and decision making. The post is funded by
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developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
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visualisation projects, including the development of predictive and advanced analytics models using AI, machine learning and natural language processing (NLP), to solve the most pressing real-world problems
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring
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technician consisting of experimental chemists, computational chemists, and computer scientists specialising in AI. You are also expected to have the opportunity to engage with events, training and personal
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massive substrate profile datasets in high throughput; application of in-house machine learning algorithms to identify optimal linker activity and selectivity; synthesis and characterisation of linker
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rig setups and the modification/re-purposing of existing rigs and equipment. Common activities include machining, cutting, water-jetting, welding, assembling and working with cabling and hydraulics