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York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large-scale single-cell data from primary human
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be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With proven
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language processing, historical linguistics, and computational humanities. The postholder will lead the computational stream of the project, which involves building a large corpus of Latin texts (data collection and
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of Professor Michael Browning and Professor Jacinta O’Shea, to work on a large-scale project, sponsored by a Wellcome Mental Health Award. What We Offer As an employer, we genuinely care about our employees
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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qualification/experience equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams and in the preparation and analysis of large healthcare datasets such as
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of cosmology will be considered, candidates interested in collaborating with Professor Blake Sherwin on CMB or large-scale structure cosmology (ideally on areas related in some way to CMB lensing or kSZ science
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and how this may be improved. This will include participant recruitment through various means, data acquisition (primarily through individual semi-structured interviews), data analysis, and working with
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At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be