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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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About us King’s History is an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative analysis. We
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and cross-discipline collaborative ability. C4. Communication skills [oral and written], including ability to communicate complex and/or large volume data clearly and concisely to a varied audience. C5
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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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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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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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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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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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