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are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment. We're very proud to be a signatory of the Armed Forces Covenant
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Oxford’s Department of Orthopaedics (NDORMS) as well as collaborators in Bristol and Cardiff. You should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely
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potential to contribute machine learning expertise in the context of data systems ranging from ground-based spectroscopy (e.g. WEAVE) to medical imaging (i.e. SPACE/IMAXT). The successful candidate will have
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sectors. The course combines advanced technical skills in data science, analytics, artificial intelligence and machine learning with a strong foundation in business strategy and governance. Managing
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railway earthworks. Additionally, the project will integrate environmental data through data fusion and develop automated machine learning tools for anomaly detection and risk assessment. The effectiveness
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work as part of a team under the direction of the School Technical Manager and deliver support in all aspects of our new cutting-edge STEAM Laboratory. The STEAM Laboratory is an active learning facility
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great salary and friendly team you will 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
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researchers, under the supervision of Prof David Wedge. Collectively, this team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; risk prediction. This
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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researchers, under the supervision of Prof David Wedge. Collectively, this team has expertise in the analysis of multilevel omic and imaging data; data integration and machine learning; risk prediction. This