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Application Deadline 15 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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/or high-impact journals. Experience in working in one or more of following areas: hardware benchmarking; performance characterization; workload tuning and bottleneck identification; databases/analytics
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, communications, and marketing partnership activation – to drive student recruitment and enhance GIS’ global profile. You will direct a high-performing marketing team and deliver innovative, data-driven campaigns
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expertise in high-performance computing (HPC), parallel computing frameworks (such as MPI, OpenMP) and GPU acceleration. Proven experience administering, configuring, and optimising HPC clusters and GPU
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cross-team coordination, ensuring high standards of excellence that reflect the School’s reputation. Key responsibilities: Work alongside the Programme Director to align operational objectives with
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ability to perform cutting-edge science, as evidenced through publications in high quality journals or on pre-print servers is also essential. Main duties and responsibilities Conduct research
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to support everything from high-performance computing to advanced data analytics platforms, enterprise applications, cloud and on-prem infrastructure. About us Ranked 8th in the Complete University Guide 2025
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critical bottleneck in pharmaceutical R&D: the scarcity of large-scale, high-quality data linking small molecules to their protein targets. By integrating automated chemistry, protein engineering, high
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computational modelling technologies. The School is placed within St. Thomas’ Hospital and therefore offers an exciting opportunity to perform truly translational research by supporting rapid translation of basic
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opportunity to lead a high-performing HR Partnering Team, working collaboratively with senior leaders to deliver impactful, people-centred change. About the Role In this role, you will: Support transformational