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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Barmak Honarvar Shakibaei Asli
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those studying a research degree with a wealth of social and networking opportunities. How to apply For further information please contact: Name: Dr Stefano Mori Email: stefano.mori@cranfield.ac.uk If you
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information please contact: Name: Dr. Yang Xing Email: yang.x@cranfield.ac.uk If you are eligible to apply for this studentship, please complete the online application form. Please note that applications will
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you will be put in touch with an appropriate person. For further information about application please visit Applying for a research degree . Apply now
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information about application please visit Applying for a research degree . Apply now
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with an appropriate person. For further information about application please visit Applying for a research degree . Apply now
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conditions (yaw angles of the model), natures of the incident flow turbulence, and roughness of the ground). The results can be compared to available data in the literature (especially in the framework
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expected. Funding This is a self-funded research opportunity, therefore students will need to cover their own tuition fees and the living expenses . How to apply For information intake dates and the