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) GRADE 7, £39,355 - £45,413 pa Fixed-term Ref: 095593 A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials
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skills in the use of computer packages including word processing, data storage and retrieval, e-mail, and CRM’s. Ability to work autonomously and within a team environment to successfully coordinate
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for this role include: Conduct research in the area of High Dimensional Approximation, Uncertainty Quantification, Deep Learning, and Quasi-Monte Carlo Methods independently and as part of a team, including
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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technology and computer literacy, including email communication, basic AV equipment operation, and online form completion. Effective communication skills to interact professionally with students from diverse
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data requirements, and lower costs for large-scale modelling tasks. PINNs enhance predictive capabilities and efficiency by combining data-driven methods with physical principles. Unlike traditional
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. The candidate will contribute to the development of empirically validated methods for identifying and mitigating such effects. The research will involve experimental studies, neurophysiological methods (e.g., eye
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many-body methods for multi-valence-electron atoms, with a focus on transition metals of interest for spin-crossover metal-organic frameworks (MOFs). The applicant will be involved in the development
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(from just $6.15 a day) Salary packaging options About You Bachelor’s degree or a combination of relevant experience and/or education/training. High level of computer skills, including: the Microsoft
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Microsoft Office software. Knowledge of University student computer systems and packages e.g. SI-net, Business Objects, UniTask, iSuite packages and the use of CRM systems is desirable The successful