162 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Birmingham-Newman-University" positions at University of Birmingham
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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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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic bioinformatics techniques to respiratory samples and developing analysis and interpretation approaches
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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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operations. These systems are central to the University’s strategy to enhance digital maturity, drive operational efficiency, strengthen data-driven decision-making, and support ambitious plans for income
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team is newly formed and plays a critical role in developing an integrated, insight-driven approach to research performance, REF planning, research systems oversight, and data governance. The team
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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