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stability and compatibility. Supervision team The University of Melbourne: Professor Peter Vee Sin Lee Shanghai Jiao Tong University: Professor Cheng-Kung Cheng *Click on the researcher's name above to learn
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conditions. Supervision team The University of Melbourne: Professor Ying Tan , Dr Ye Pu Shanghai Jiao Tong University: Professor Weidong Zhang *Click on the researcher's name above to learn more about their
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. The candidate will collaborate with a multidisciplinary team of researchers and contribute to the advancement of knowledge in this area. Qualifications Master's degree in machine learning Knowledge of deep
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researchers the chance to work with researchers from other disciplines – a health researcher might work with neuroscientists to learn more about mental health, or an economics researcher might collaborate with
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, every lab. But there were challenges. In Germany, my reactions worked. Then I moved to Australia and I replicated the processes I'd followed at home, but it didn’t work, and I had to learn why. In my case
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/ domestic student Total value up to $10,000 Applicable study areas Engineering; Sciences and mathematics Number of scholarships awarded 1 Eligibility & selection criteria Eligibility To be eligible
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Reducing aerodynamic noise of advanced air mobility by prediction based on machine learning 2 Minute read This PhD project will be based at the University of Melbourne with a 12 month stay at
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that recognise talent and support graduate researchers. Find the right scholarship Find a supervisor Find the right supervisor for you and learn how they can support your research. Find the right supervisor How
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and entrepreneurship Discover ways to create impact from your research through commercialisation. Learn more Spotlight on research Djambatj Dhukarr: Living in two worlds. Learning both ways. Djambatj
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PhD will be recognised by two testamurs – one from each partner university. Learn how an international joint PhD opportunity in chemistry helped fulfil both professional and personal ambitions for Dr