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are rated as 8th nationally for the quality of our research environment, showing that the School of Computer Science is a vibrant and progressive place to undertake research. Natural Language Processing Group
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engineering. Excellent mathematical background and strong programming skills. Knowledge of theoretical machine learning and Python is highly desirable. If English is not your first language, you must have an
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Engineer (CEng) status, ensuring you’re recognised for your professional expertise. Entry Requirements: A first-class or strong 2:1 degree in a relevant science or engineering subject such as Computer Science
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engineering/STEM undergraduate maths. Be willing to take part in field work. Have programming experience. If English is not your first language, you must have an IELTS score of 6.5 overall, with no less than
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to the scoping, delivering and reporting of research projects, as well as engineering tasks such as programming for modelling development, implementing numerical techniques such as the Finite Element Method, and
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in Engineering, Maths, Computer Science or another area
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degree in a relevant discipline (Robotics, Electrical/Electronic Engineering, Computer Science, Mechanical Engineering, or related fields). - Strong mathematical background and good programming skills
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required, eg to coordinate meetings across various sites. Participate in the general collaborative working of the cybersecurity, computing foundations and natural language processing groups, eg to present
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the Research Programme Manager, academic and University-wide administrative colleagues as part of a team. You will be responsible for providing a high-quality administrative support service to all aspects
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this brings while also being capable of taking ownership and progressing your own areas of work. Within Network Services we are undertaking a multi-year programme of network transformation across the University