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teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our
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have forged a formidable history. As a teaching-intensive University, our courses are rooted in practice-based learning, and we provide wider support that sets our students up to succeed after graduation
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The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has a new opening for a Project Support Officer, working together with Professor Yarin Gal. In
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to have the following skills and experience: Essential criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis
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sustainability goals whilst improving operational efficiency? This PhD studentship will involve developing machine learning models, creating virtual manufacturing replicas, and implementing optimisation algorithms
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at leading international conferences and publish in top-tier journals. The successful candidate will gain advanced expertise in multi-sensor fusion, signal processing, machine learning, and positioning
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to continuous improvement. Contribute to the development of appropriate programmes, modules and lectures in accordance with academic and military learning objectives. Participate fully in assessment
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Part time with 0.4 FTE (15 hours) Fixed term contract for up to 12 months with possible extension The Oxford Applied and Theoretical Machine Learning group at the Department of Computer Science has
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programming language Experience with statistical inference or machine learning methods (e.g. ABC, Bayesian modelling) A proven publication record with at least one first author publication in a peer-reviewed
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of AI and machine learning to networking, robotics and cyber security and the technologies needed to support AI and intelligent infrastructures. Biomedical Engineering, including bioelectronic devices and