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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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individually, make a real difference. The role We are looking to recruit a highly motivated post-doctoral research fellow to work in the Rolls-Royce ThermoFluid Systems University Technology Centre at the
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), Data Science, or A related computational or quantitative discipline You’ll bring experience in: Modelling vehicle dynamics, energy consumption, battery health, and tailpipe emissions Data extraction and
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: Operational Research Applied Mathematics Computer Science Business Analytics A related quantitative field You will also bring experience in: Optimisation algorithms (exact methods and heuristics), Strong
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Are you fascinated by working at the intersection of physics and synthetic biology? This PhD project offers a unique opportunity to develop autonomous microswimmers, which are bioinspired structures
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completion) in Chemical Engineering, Mechanical Engineering, Physics, Computer Science, or a related discipline. Demonstrated experience in developing multi-physics models for electrochemical processes and
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the Engineering and Physical Sciences Research Council. The work in the project builds on recent seminal work carried out by the project investigators on Linear Angular Momentum Multiplexing (LAMM) . The project is
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the Engineering and Physical Sciences Research Council. The work in the project builds on recent seminal work carried out by the project investigators on Linear Angular Momentum Multiplexing (LAMM) . The project is
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new Games Design BSc. We are looking for an exceptional Lecturer with qualifications and experience in the field to support the delivery of this programme. The role The successful candidate will be
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– www.decade.ac.uk GOALS OF THE POSITION Within the DECaDE project, this Research Fellow position will work on a project co-created with business and computer science. The theme is specifically: The AI data supply