172 data-"https:"-"https:"-"https:"-"https:"-"M.V" positions at University of Birmingham
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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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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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. Furthermore, we continue to reduce our carbon footprint by 3,000 tonnes per year on average and maintain more than 9,200 trees. Role Summary The Head of Estates Digital Information and Insight provides
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of Birmingham Background City-REDI has 2 fixed term posts of 18 month duration for Policy & Data Analysts available starting March 2026. Why Join City-REDI? At City-REDI, part of Birmingham Business School, we
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surveillance of pathogens through samples such as respiratory infection samples. One such UKHSA project is MScape, which is using deposition of metagenomic diagnostic sequencing data to perform surveillance
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breaking towards achieving silent aircraft design? Applications are invited for one funded 3.5-year PhD studentship for the project titled ”Data-driven modelling and control of turbulence-generated noise” in
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more about the benefits of working for the University of Birmingham Role Summary The Senior Data Manager is responsible for the administration and collection of clinical research data for one or more
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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April 2026 2 Positions available Background This is an exciting and unique opportunity for an ambitious graduate data scientist with the ability and confidence to perform the analysis and integration
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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