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human disease modelling, therapeutic target discovery, functional genomics and Artificial Intelligence/Machine Learning. The Enterprise arm of the MTI provides a comprehensive support system, which is
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, engineering and mathematics. You would be working with world-leading computer science researchers in computer architecture, systems, cybersecurity, machine learning and many other topic, each with interesting
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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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, https://ellis.eu ) is a European AI network of excellence putting together the best researchers in machine learning in Europe. It focuses on fundamental science, technical innovation and societal impact
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also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension contributions
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closure and bank holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing
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language processing and graph learning Develop data visualisation tools Working in a cross disciplinary team with economists, computer, environmental, and other scientists This is a diverse and dynamic role, and the
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completion, preferably with an application of their research in a real-world setting. Coding and software engineering proficiency will be expected if relevant to their experience, e.g. for machine learning
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combination of remote sensing, machine learning, historical map analysis, records-based research and selective archaeological surveys. This role will support the successful implementation of the MAHSA project
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We are looking for an organised, proactive individual to help in this varied role. The Learning and Development Coordinator will work within the CAM Doctoral Training Partnership [DTP] to provide