42 quantum-computation-"INSAIT---The-Institute-for-Computer-Science" Fellowship positions at University of Birmingham
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algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It investigates how the unique capabilities of quantum computing
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the topical area of Quantum-enabled radar at UoB through contributions to securing research inputs and outputs Contribute to the management and delivery of the programme Lead efforts on the further development
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potential progression once in post to £48,149 Grade: 7 Full Time, Fixed Term contract up to August 2028 Closing date: 15th July 2025 Background We are seeking an innovative Research Fellow in Computational
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Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs
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Job Description Position Details School of Computer Science Discipline: Life and Environmental Sciences University of Birmingham, Dubai campus Salary: Competitive Grade: 7 No. of positions: 1 Full
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for a fixed term up to end of June 2028, ideally starting in September 2025. The position comes with an allowance to cover international travel and computing. Role Summary We are seeking to appoint
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Our international group of highly motivated and
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July 2025 Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Role
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at the University of Birmingham is pleased to offer a Part-Time Research Fellow post funded through the NIHR DEMCOMM Fellowship Programme. This post supports a motivated qualitative researcher to contribute