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Applicants should have a graduate degree related to network/computer sciences or engineering with a specialisation in cyber security/applied AI/ML. Good simulation skills for proof of concept and programming
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, mathematics, engineering, computer science, and similar) or in life-science with modelling experience. Experience in programming is essential. You will be expected to develop your solutions in at least one of
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Quantitative disciplines (physics, mathematics, engineering, computer science, and similar) or in life-science with modelling experience. Experience in programming is essential. You should have a track record of
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, individuals and organisations, locally and globally by blending the rigour of high-quality impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top
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to the Engineering Service Support Manager the post will be responsible for completing planned and reactive maintenance services including: Maintaining all mechanical systems, to current legislative requirements
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Days – Off Role & Responsibilities: Reporting to the Engineering Service Support Manager the post will be responsible for completing planned and reactive maintenance services including: Maintaining all
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the position and will be based in the School of Computer Science and Electronic Engineering, within the Computer Science Research Centre and the highly regarded Surrey Centre for Cyber Security (SCCS), working
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to Dr Radu Sporea , who will oversee the work. The post will be held at the Advanced Technology Institute, University of Surrey and will likely involve significant collaboration and exchanges with
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exciting opportunity to work closely with our academic community and industry contacts developing impact through the commercialisation of our research. About the role As Technology Transfer (Innovation
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the Engineering and Physical Sciences Research Council (EPSRC). The University of Surrey and Bristol University Business School are developing the work on resilient supply chain for additive manufacturing