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for enthusiastic, inquisitive and motivated researchers with a strong interest in aerospace systems engineering to develop innovative solutions and technologies. This is a BAE Systems - EPSRC CASE Award
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Applicants should have a good first degree in mechanical/aerospace engineering or computing, maths or physics or any other relevant topic. An MSc or relevant work experience will be beneficial. Knowledge
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for transformational research and education in technology and management. Research Excellence Framework 2021 (REF) has recognised 88% of Cranfield’s research as world-leading or internationally
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to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our
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system modelling framework (utilising SysML) that effectively represents human-machine teaming in uncertain environments. This research will employ a systematic approach to refine the representation
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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is a technically challenging process due to the exponential number of variables that one has to account for, when making carbon footprint assessments for products and processes. The tools, methods
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This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By
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of water consumption and water pollution. Moreover, only 1% of the materials used in the production process of clothes are recycled back even though around 95% could be recycled. The industry is built
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. Experiments using canonical configurations in the Cranfield hypersonic gun tunnel will statically represent the multi-body aerodynamics. The computational work will use Cranfield’s high-order UCNS3D code.to