419 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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the University’s Focus programme. They will skill and empower other team members to enable smarter, more efficient working, to respond to current challenges and to promote positive change. The successful applicant
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archaea, many of which also use histones as major chromatin building blocks, and non-model bacteria. In the lab we combine a variety of computational and experimental techniques, including phylogenomics
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. High level of computer literacy, including MS Office and web-based systems, including Excel, Word, Ms Teams and Outlook is essential for this role. You will have significant administrative experience in
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Computer Science, Engineering or Data Science with professional experience demonstrating your expertise. For this role you will be working with Python and AWS so experience in these is essential. It will also be
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Oxford’s cultural community and leads an exciting programme of public exhibitions and events to engage communities with our collections. You will work alongside colleagues in a busy, professional and
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a Level 4 Corporate Responsibility & Sustainability Practitioner Apprenticeship with GLP over 30 months. Working closely with the Environmental Sustainability Programme Manager, you will support
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cytometry innovations. You will be responsible for carrying out an advanced flow cytometry focused research program, including but not limited to complex immune profiling, sorting and cloning immune cells
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normal place of work. You will join the SMOC (Stem cell signatures of Mutational Order in Colorectal Cancer) study, a Cancer Research UK–funded programme led from the University of Oxford. The project aims
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AI Research Coordinator – University of Oxford Oxford hosts one of the world’s most extensive and diverse AI research communities, spanning fundamental AI, ethics and governance, robotics, medicine, climate science and more. That breadth is a strength, but it also requires careful...