231 computer-science-programming-languages-"St"-"ST"-"FEMTO-ST" positions at University of Birmingham in United Kingdom
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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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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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Job Description Position Details Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK
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programme. Individual projects within the FutureForests programme maps into four key interrelated science objectives with a focus on assessing responses of 1) tree functional processes including leaf
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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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Job Description Position Details College of Life and Environmental Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £29,647
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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
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). Atmospheric rivers are poorly forecast on the subseasonal scale, and regions identified as having particularly poor skill include the Indian monsoon region, Madagascar, and Indonesia (DeFlorio et al., 2019