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The School of Computer Science within the Faculty of Science & Engineering is seeking to appoint a Lecturer in High Performance Computing as a one-year fixed-term position. This is a pathway 1 role
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detailed consideration of the interaction between structural form and manufacturing quality in designing the most high-performing composite structure. The role holder is expected to contribute their own
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the new MSc Engineering with AI programme and support the management of the programme, and; conduct high-quality research in the area of machine learning and AI as applied to engineering problems
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of the CMS experiment at CERN. The successful applicant will focus on strengthening our involvement on the ambitious High-Granularity Calorimeter project, which forms an essential part of the upgrade to CMS
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, NetOps, DevOps, SecOps, MLOps or Research Software Engineering. Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in natural science with a high degree of
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Computer-aided design (CAD) is widely used in engineering to accelerate and optimize the design process. Applying CAD and related computational approaches to the engineering of biology would have a
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high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant postgraduate research
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computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the research will be the inclusion stochastic elements
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of the campus, ensuring excellence in teaching, research, and student outcomes. Build and manage high-performing academic and professional services teams. Promote a collaborative, inclusive and positive working
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available: Coding and data analysis can be carried out from home; experiments need to be performed on campus. As part of the role, you will (1) record and process high‑resolution video of nest construction by