102 software-verification-computer-science-"Prof" positions at University of Newcastle
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. Our team brings together deep expertise in software engineering, distributed systems, machine learning, and cybersecurity. We work across disciplines; from healthcare predictive models for urban air
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to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 18 July 2025 Newcastle University has an opening in its Research Software Engineering Team
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, etc The Person Knowledge, Skills and Experience Essential Proven expertise in the areas of security, formal methods, program analysis and software engineering Experienced in programming and tool
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. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Experience deploying machine learning models on edge platforms (e.g., NVIDIA Jetson, Raspberry Pi, ARM Cortex
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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: 07 August 2025 The Role This is an exciting opportunity to join us at a pivotal time. We are launching a new Aerospace Engineering degree, homed within School of Engineering , the programme builds
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of Engineering, the programme builds on the School’s established strengths in fluid dynamics, materials, intelligent sensing, advanced manufacturing and electrical power systems and will be delivered from the new
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, software design, and in writing clear, concise, elegant code. Strong interest in interdisciplinary research. Qualifications Essential: A PhD awarded (or nearing completion) in Computer Science, Engineering
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pleased to offer a 0.2 FTE post for a period of two years to support our new undergraduate Cognitive Science Programme. We are interested in applicants from diverse backgrounds in Cognitive Science who can
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pilot programme that is designed to equip Newcastle University graduates with the skills, confidence and experience they need to apply data science and AI tools and methods to real-world business