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                or biomedical sciences, and a PhD degree (or near to completion) in the field of microbiology Significant experience with molecular and phenotypic microbiology experimentation, along with experience 
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                , computer science or related subjects Expertise in the theoretical study of high-energy astrophysical systems (preferably tidal disruption events) by means of hydrodynamics simulations, including effects such as 
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                Job Description Position Details School of Chemistry Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential 
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                PhD, or near to completion (or equivalent experience) in a relevant field, including statistics, mathematics, computer science, epidemiology Strong mathematical and quantitative skills Familiarity 
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                Job Description Position Details School of Chemistry Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with potential 
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                in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including 
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                Computer Science, Data Science, AI, or a related field with substantial expertise in data science/AI methods Strong publication record in relevant areas Demonstrated ability to work across disciplinary boundaries 
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                biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue 
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                processes Contribute to the planning and organising of the research programme and/or specific research project Co-ordinate own work with others to avoid conflict or duplication of effort Knowledge 
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                particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those