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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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                The Head Coach 8&U Performance will coach tennis across the programme and assist in the delivery and development of our junior coaching and competition programme. This is a 28 hour per week 
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                programme of the Heilbronn Institute, thus enjoying opportunities to engage in collaborative work as well as individual projects. Research areas of interest include, but are not restricted to, Algebra 
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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 
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                this role, you will be using a classical organometallic and organic synthetic methodology combined with automated approaches and high-throughput screening. If your track record is in computational chemistry 
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                EPSRC grant 'Particle systems, growth models and their probabilistic structures'. Our School has a vibrant scientific environment with leading researchers, several postdocs and students, high-profile 
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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