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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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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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, 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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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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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
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Automated Verification theme in the Department of Computer Science and a research group with responsibility for carrying out research on the robustness (continuity) of equivalences in probabilistic systems
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. In this position, you will manage and innovate next-generation algorithms, focusing on both automated and manual processing pipelines to enhance clinical diagnostics and patient care. You will