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discoveries on the electrosolvation force. The project will use a range of optical methods to examine the interactions in colloidal and molecular systems and relate the experimental findings to theories
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learning approaches. You will develop novel, reproducible methods for analysing both structured and unstructured clinical data, generating insights into disease trajectories, predicting clinical outcomes
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods. About you The successful candidate
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quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other
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difference in combatting antimicrobial resistance globally and changing international policy. We contribute significantly to basic knowledge of antimicrobial resistance and apply research methods to identify
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methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
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cryoEM and cryoET you will ideally have background in at least one of these methods. You also should have a deep interest in mechanisms underlying basic biological processes at the molecular level
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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of ethnographic or collaborative methods, as well as contributing to peer reviewed publications/presentations. You will also have excellent organisational skills and the ability to communicate effectively with