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-based statistical inference and the use of relational databases, or candidates with a PhD or similar in computational science or mathematics, and an interest in archaeology. We will consider candidates
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of funding About the person: The successful candidate will: Have significant recent research experience relevant to this project. Have (or be about to obtain) a PhD in a relevant subject such as social
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of statistical privacy, distributed inference, and/or game theory would be useful, but are not expected. You should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a related
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, please contact the Institute of Neurology HR Team. Informal enquiries regarding the role can be addressed to Dr Julija Krupic. We expect to hold interviews on 01 July 2024. About you You will hold a PhD in
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conducting high-quality and innovative research addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge
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health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real
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to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study. The successful
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century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real-world problems. This is combined with qualitative
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for an ambitious PhD graduate or post-doctoral data scientist with the ability and confidence to lead the development and implementation of multi-omics frameworks and the ambition to identify potential translational
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using vacancy reference B02-06902. About you You will hold a PhD in neuroscience or a related subject and have significant experience with in vivo electrophysiological recordings and data analysis in