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PhD in Chemistry, Biochemistry or a relevant subject area, (or be close to completion) prior to taking up your appointment. The research requires experience in bottom-up mass spectrometry
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics
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distributed quantum computation. In this project, we plan to push all of these areas further, with experiments in blind quantum computing, quantum repeaters, and enhanced metrological quantum advantage. We seek
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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projects with colleagues in partner institutions, and research groups. You must hold a PhD/DPhil (or near completion). You will have extensive experience in live imaging of the spleen using 2-photon
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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, under the direction of Prof. Sam Wolfe. It is essential to have a first degree in Linguistics, Modern Languages, Psychology, or a related discipline, possess or be very close to obtaining a PhD in
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an opportunity to be involved in analysing the quantitative data collected as part of the project. You will hold a relevant PhD qualification (or be close to completion), with sufficient relevant research
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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