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                Employer- Cranfield University
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                research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive 
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                capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne 
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                science interlink prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of a European 
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                : Working knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal 
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                date. Compulsory national service, short stays such as holidays and time spent by the researcher as part of a procedure for obtaining refugee status under the Geneva Convention 140 are not taken 
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                2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derbya procedure for obtaining refugee status under the Geneva Convention 140 are not taken into account. Exclusivity The candidate must be working exclusively for the action. Selection process Recruitment 
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                performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power 
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                contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint 
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                Atmospheric Observatory (weybourne.uea.ac.uk ) and the Heathfield Tall Tower in the UK, you will: Disentangle atmospheric signals into anthropogenic and natural processes (1, 2) to quantify ffCO2, making use 
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                , please contact the supervisory team directly to find out more and discuss a project proposal before making an application to the lead university. You should indicate clearly on your application which