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Field
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. Person Specification PhD (or near to completion or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology. Strong mathematical and quantitative skills
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excellence in Data Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data
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previously researching on terahertz spectroscopy and ion-exchange membranes. About You We are seeking a highly qualified individual with a PhD (or near completion) in in Electronic Engineering, Chemical
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, or scientific relevance of myths. Applications are welcome from all those working on this topic within any area of the Arts, Humanities and Social Sciences and who wish to undertake a major project over the
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. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria: Have, or be about to obtain, a relevant PhD. Relevant areas
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artificial intelligence methodologies. The successful candidate will work at the forefront of computational biology, developing novel approaches for large-scale genomic data analysis and contributing
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of others, providing expert advice and guidance. Skills, Experience & Qualifications Needed A first degree in physical / engineering /architecture and a PhD in pollution and/health. Experience in sensors
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an exciting opportunity to lead a Knowledge Transfer Partnership (KTP) between the School of Chemical Engineering at the University of Birmingham and Gen 2 Carbon Limited. The Knowledge Transfer
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shared sense of what is real and societal cohesion. Applications are welcome from all those working on this topic within any area of the Arts, Humanities and Social Sciences and who wish to undertake a
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skills and experience: Essential criteria Upper second or first degree (BA, BSc or equivalent) and PhD in behavioural, social, management or health sciences, or in a discipline with a health-related