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Applications are invited for a Senior Machine Learning Scientist to join the Medical Statistics group, with a combination of research and teaching responsibilities. The successful applicant will
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relevant PhD/DPhil (or near completion*) in Computer Vision or Machine Learning. You should have a strong publication record at the principal international computer vision and machine learning conferences
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; disseminate replicable and reproducible data scientific workflows and help train practitioners in the use of new methods. You should hold a PhD (or be close to completion) in computer science, statistics or a
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statistical analyses to test specific hypotheses. You will hold a PhD in microbial ecology or in a related subject and have demonstrable experience in conducting fieldwork on the Skokholm wild house mouse
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the wider academic community, and to the general public via talks and publications. The successful candidate will hold, or be soon to complete, a PhD/DPhil in a relevant discipline (psychology, neuroscience
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and collaborate in the preparation of research publications. To be considered you will hold or be close to completion of a PhD/DPhil in Demography, Sociology, Economics, Statistics, Public/Population
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obtaining, a PhD in neuroscience, sleep science, child psychology, epidemiology, biostatistics or a closely related field. Experience in the following data management and statistical techniques is also
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interpretation and will lead on the preparation of manuscripts for publication and the drafting of reports to funding bodies. About you You will hold a PhD/D.Phil in medical statistics, data science, clinical
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gene expression. The project will apply a wide variety of bioinformatic and statistical techniques to bulk and single nuclei functional genomic data generated by our teams (e.g., ChIP-seq, RNA-seq, ATAC
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We are seeking an enthusiastic Postdoctoral Research Assistant in Medical Statistics, with an interest in AI, to join the Computational Health Informatics (CHI) Laboratory, in the Institute