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hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical statistics or statistical genetics. You must
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We are seeking to appoint a Senior Postdoctoral Researcher in Statistical Machine Learning and Deep Generative Modelling to apply and develop cutting-edge deep generative probabilistic models
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statistical and computational methods designed to use “big data” and to address questions of direct or indirect relevance to common complex diseases and disorders. The appointee will join the group of Professor
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with broad interests in random matrix theory, analytic number theory, probability or statistical physics are strongly encouraged to apply. They will be expected to conduct research which falls within
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with
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capabilities o Demonstrated experience with machine learning and/or statistical modeling o Expertise in handling large-scale, complex datasets with strong data wrangling skills o Strong publication record
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related area, prior to taking up the appointment. The research requires experience in statistical mechanics, and combined simulation/experimental studies of disordered systems. You will be expected
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oriented environment. The post holder must have experience with EEG and should be able to carry out acquisition and analysis of EEG data independently. The post holder must also have a strong statistical
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Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). You will be responsible for adapting existing mathematical and statistical methods for analysis of high
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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the