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project focused on systematically exploring the impact of the exposome on complex disease risk, through the lens of multi-omics data (e.g., genomics, proteomics, metabolomics and biochemistry) from large
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member of the ‘Blackholistic’ team (Oxford-Amsterdam-Radboud) which includes relativistic simulations on all scales from black hole to large scale jets, as well as analysis of data from the Event Horizon
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climate and environmental goals. In this role, you’ll be part of a collaborative team designing useful advice and tools for farmers, managing and analysing agricultural data, and leading your own areas
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We are inviting applications for a postdoctoral Scientist to work on the transmission dynamics of SARS-CoV-2 using a very large dataset of more than 120,000 viral genomes generated as part of
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designing useful advice and tools for farmers, managing and analysing agricultural data, and leading your own areas of research. You will be part of a team working on the environmental sustainability
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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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data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other international initiatives. To be considered, you must
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experience handling large quantities of clinical or non-clinical real-world data, preferably in a data manager role Experience applying statistical and data science techniques to address real-world clinical
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on proposing for, and analysing, data with VLBI arrays to study relativistic jets from black holes. They will work with other observers and theoreticians to develop our understanding of black hole jet formation
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on proposing for, and analysing, data with VLBI arrays to study relativistic jets from black holes. They will work with other observers and theoreticians to develop our understanding of black hole jet formation