223 computer-science-programming-languages-"Prof"-"Prof" positions at University of Birmingham
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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000
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develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With
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Grade: 8 or 9 Full Time, Permanent Closing date: 1st February 2026 Academic Development Programme - new Assistant Professors will undertake a 5-year development programme, at the end of which
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radar systems. Finally, it will benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance
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sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000
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activities on biodiversity. By synergistically combining advanced computational and bioinformatics technologies with end-user insights, the team aims to accelerate the transition from traditional to science
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Anatomical Technology and Science during their training period. We would expect this training programme to take 2-3 years. BSc in Human Anatomy (or similar closely related qualification with a significant
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click the above 'Apply' button, make an account, and submit an application via the university online admissions portal. This link is unique to the MIBTP programme; please do not use any other link
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar