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machine learning. The position will involve working with different research groups in the Department of Computer Science at the University of Cambridge, UK. In this collaborative project, we will apply
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, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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, Collaboration, and Ambition. Our Behaviours shape our work culture: We listen and learn, support one another, respect everyone, trust each other, and are bold. Based in Newcastle upon Tyne and London, we
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in a lab environment. You should be highly driven, keen to learn and you will have strong organisational and communication skills with the ability to effectively prioritise lab duties, both
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circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes
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sustainable heritage management decisions (particularly in an African context), using advanced methods in satellite imagery analysis, remote sensing and machine learning, combined with geospatial analysis
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Ambition. Our Behaviours shape our work culture: We listen and learn, support one another, respect everyone, trust each other, and are bold. Based in Newcastle upon Tyne and London, we are an on-campus
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the end, in the wellbeing of our planet. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most