196 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Birmingham
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Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
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Bioinformatics Education 107116 Assistant Professor (Education) in Health Data Science Education 107113 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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Data Science Education 107113 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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Bioinformatics Education 107116 Assistant Professor (Education) in Health Data Science Education 107117 Academic Development Programme - new Assistant Professors will undertake a development programme. The
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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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at module and programme level to ensure it is contemporary, inclusive, engaging and academically challenging; actively engaging students in curriculum design; making an impactful, high quality
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programme level to ensure it is contemporary, inclusive, engaging and academically challenging; actively engaging students in curriculum design; making an impactful, high quality contribution to debates about
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undertaking a specified range of activities within an established research programme and/or specific research project. Role Summary Work within specified research grants and projects and contribute to writing
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positions available Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during