62 computing-"https:"-"https:"-"https:"-"ESPCI-Paris---PSL" positions at Cranfield University
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progression up to £52,067 per annum The Cranfield University Commercial Team welcomes applications for the Project Leadership Programme. We are seeking candidates with substantial Programme Management
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progression up to £29,811 per annum The Cranfield University Commercial Team welcomes applications for the Project Leadership Programme. We are seeking candidates with substantial client administration
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programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking
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detection of chemical and microbial contaminants in rivers. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme, which is supporting new research
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to £43,805 per annum We welcome applications from skilled, delivery-focused engineers to contribute to our successful railways-applied smart machines research programme. About the Role We are seeking a highly
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system. This project will focus on improving the intake aerodynamic design systems in terms of design optimisation as well as computational modelling. Entry requirements Applicants should have a first or
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, Integration and Performance . This role will contribute to the development of various systems used in propulsion architectures. You will be working in test facility design, computational fluid dynamic modelling
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: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
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Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30
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confidence, safety, and reliable shared decision-making. To achieve this, the programme offers two closely connected research directions. The first area focuses on real-time multimodal human trust sensing