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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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robots are therefore required. One of the goals of this project is to commercialise. You must have a strong computer science background and have experience in one or more of the following areas: Computer
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Grade 6 Research Assistant Essential Criteria 1. A Master’s level degree (or equivalent experience) in Electrical Engineering, Energy Systems, Control Engineering, Computer Science, Artificial
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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Project Overview This 5-year BBSRC supported project is a highly multi-disciplinary effort between biology and engineering groups at the University of Oxford to advance cell-based assays
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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must be spent before the end of March. (At the time of advert we are not aware of any funding offered to match or extend positions through this scheme, but academic colleagues will be invited to post a
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neuroscience, with the aim of improving mental health outcomes in both non-clinical and clinical populations. We are based at the MRC Cognition and Brain Sciences Unit, University of Cambridge, a world-leading