58 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"St" positions at Cranfield University
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the Researchers Core Development programme alongside PhD students, together with access to the University Doctoral Core Research Methods Training (DCRMT) Programme courses, as well as a tailored programme of
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across the University. This is a fantastic opportunity for those early in their digital career to build their software development skills, but you’ll need to be passionate to learn and determined
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to the development of digital twin technologies for sCO2 power generation systems. The Centre for Propulsion and Thermal Power Engineering has a key focus and a proven track record on gas turbine performance, gas path
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for personal development and training courses. What will the student gain from experience (transferable skills, employability): Successful candidates will develop important technical skills in spacecraft
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challenges, anticipating the threats of tomorrow. Saab invest 23% of annual revenue into research and development, collaborating with a range of partners including industry and academia. Specialisations within
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GNSS alone leaves systems vulnerable to interference, spoofing, or outages, particularly in dense urban environments. The development of 6G networks with integrated TN and NTN infrastructures provides
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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solutions-focused professional with a strong foundation in IT and a commitment to continuous professional development. With hands-on experience in the Microsoft Power Platform - particularly Power Apps and
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to ensuring safe, reliable, and high-performance communications. The development of 6G based AI networks with integrated TN and NTN infrastructures provides new opportunities for UAV tracking
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to slower, longer-term, evolution (e.g. vegetation and morphological change). For some, blue spaces may be perceived as ‘wasted space’, whilst highly engineered systems may be perceived as natural