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team to provide project management for randomised controlled trials on the NPEU CTU portfolio. This is a great opportunity to join a friendly, supportive team with scope to contribute to wider
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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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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
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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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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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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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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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with tools like Power Automate, Power Pages, or Dataverse will be valuable. About You We’re looking for someone who can bring the following: Experience supporting enterprise applications, with strong