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automation solutions and ensuring our systems are resilient and future-proofed. Collaboration is central to this role, as you will work closely with other teams, liaise with suppliers, and provide technical
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manage incoming and outgoing post and deliveries, control the swipe card access system and report any faults and security issues. You will also assist staff within the building with various queries
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applications submitted online and received before noon Monday 14th July 2025 will be considered. The interviews will take place on Monday 5th August 2025. Please note that you will receive an automated email
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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at command line and BASH scripting Experience working with large scale, complex datasets and data wrangling skills Strong publication record and familiarity with the existing literature and research in
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specialised machine learning tools for automated segmentation and volumetric analysis of fetal brain structures from ultrasound scans (NeuroImage 2022; 254:119117; NeuroImage 2022; 258:119341). Building upon
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progress, challenges, and outcomes to project supervisors and group leads. You will perform quality control, processing, and statistical analysis of large-scale genetic (genotyping) and proteomic (Olink
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, innovation, and continuous improvement? Join our dynamic IT Services team at the University of Oxford and help shape the future of non-functional testing and test automation across our world-renowned
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threats and collaborate closely with the wider InfoSec team to enhance detection capabilities, deploy new tools, and improve automated response mechanisms. You’ll lead and develop a team of Cyber Security
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We are seeking a Research Assistant to support our experiments to understand how a host protist controls the fate of endosymbiotic algae. The project involves conducting RNAi experiments over