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series, research seminars, and workshops. Candidates will possess a PhD (or be close to completion) in any relevant area of Management. The successful candidate will have expertise in composing large
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for both ligands and novel coordination clusters under a range of conditions. Candidates must also be able to work well independently but also as part of a large team, regularly reporting on progress
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experts in their fields: Dr. Muhammad Afzal (Senior Lecturer, Lead of Big Data Analytics): Dr. Afzal is an AI and data science expert with a strong research portfolio spanning AI applications in computing
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research with demonstratable experience and expertise across quantitative and qualitative data analysis. The candidate will have the ability to work with large complex data sets and communicate complex
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systems for testing devices/products. You will possess the skills required to analyse, interpret and apply information from large data sets and knowledge of geospatial datasets and experience of GIS-based
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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information
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Maiden Labs, the researcher will be part of the cross- disciplinary Mtb Grand Challenge Team. The researcher will analyze large bacterial genome collections, infer protein structures and identify and
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associated with the research group of Professor Christopher Yau based in the Big Data Institute at the University of Oxford. The role will involve developing novel artificial intelligence (AI)-based methods
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of github Experience in analysis of genetic data and genome-wide association studies, including multi-ancestry methods Previous analysis of large genetic and clinical data sets Excellent attention to detail
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of github Experience in analysis of genetic data and genome-wide association studies, including multi-ancestry methods Previous analysis of large genetic and clinical data sets Excellent attention to detail