199 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Birmingham in United Kingdom
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) in computational materials chemistry/physics, or related relevant area. The candidate must have demonstrable experience working with high-performance computing infrastructure. The candidate must have a
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £29,647 to £31,460, with
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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an inclusive working culture. Person Specification Higher degree relevant to Computer Science and with specific knowledge of Cyber Security, or equivalent qualifications High level analytical capability Ability
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the city and beyond, support them to succeed, and celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which
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potential progression once in post to £39,906 Grade: 6 Full Time, Fixed Term contract up to January 2027 Closing date: 8th April 2026 Background This project is part of an industry-focused research programme
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of institutional and College-level research planning rounds, ensuring alignment between REF, research strategy, and performance planning processes Produce high-quality briefings, papers and reports to support
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equivalent experience. High degree of computer literacy Comprehensive experience in Linux / HPC computing environments, including Slurm job scheduling systems and Nextflow, Cloud environments (ideally AWS