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Committed to equality and valuing diversity. Application Process You will be required to upload an up-to-date CV and a supporting statement as part of your online application. Your supporting statement must
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. Informal enquires are welcomed and should be directed to Professor Raymond E Goldstein at R.E.Goldstein@damtp.cam.ac.uk If you have any queries regarding the application process, please contact LE46716
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reasoning processes to enhance transparency and accountability; (5) assess privacy risks of watermarking; and (6) conduct privacy preservation assessments, including training data extraction and membership
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in machine learning and/or computer security and Experience working with LLMs or agent-based systems. Informal enquiries may be addressed to adel.bibi@eng.ox.ac.uk For more information about working at
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). If you have queries about the application process, please contact Megan Norkett (hr-team@psychol.cam.ac.uk ). Please quote reference PJ46816 on your application and in any correspondence about this vacancy
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to climate change. You will develop outdoor thermal comfort models for children and develop thresholds for thermal comfort based on physical and physiological processes, while also accounting for different
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provided with the same opportunities. This applies to our everyday work in teaching, research and administration, including academic progression and promotion processes. Our Law School holds an Athena Swan
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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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identified in other WPs. The model construction will be informed by qualitative and quantitative knowledge of supply chain processes through dialogue with stakeholders, and model parameters will be estimated
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vulnerabilities (including to security and privacy) that may be introduced when AI is used to process data from wearable devices such as ‘smart glasses’. The project involves academics from Universities