116 software-verification-computer-science positions at Manchester Metropolitan University
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research. This cross-disciplinary centre will combine academic and technical expertise with advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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utilizing structured Excel databases. Ideal Candidate The optimal candidate will possess an undergraduate or postgraduate qualification in life sciences (biomedical science, nutrition, human physiology
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for machine learning, and experience with VR application development. Essential skills and experience: A PhD in computer science, software engineering or a similar technical field, or equivalent professional
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, you'll be welcomed into an ambitious, collaborative and inclusive team. With our Library Transformation Programme underway, including a new library building, you'll have the opportunity to shape the future
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the People and Planet University League as one of the most sustainable universities in the UK. We are a world-leading provider of Carbon Literacy training, contributing to a global education programme to help
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the Customer Service Excellence (CSE) program to enhance service delivery. We seek professionals who demonstrate commitment to continuous process improvement and who contribute positively to our collaborative
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technologies. The School of Digital Arts is a proud part of Manchester Metropolitan University. We build on the creative, science, tech and business strengths of a university whose research is rated as ‘world
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investment About the Role We are expanding our portfolio to include a pre-registration children's nursing programme, launching in September 2027. We are seeking a qualified and experienced children's nurse
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the present but offer space to explore the future - leading students to investigate what it means to be a creative media practitioner at the convergence of storytelling, technology, and innovation. To arrange
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient