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. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
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living and studying as an international student at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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agents. Your research will explore how reinforcement learning, multi-agent cooperation and generative worldmodels can deliver adaptive strategies that thrive amid volatile, multi-asset markets, micro
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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scholarship. Additional support also available for project resources and conference attendance. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in
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of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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foundation, strong learning and research abilities, communication skills, excellent academic performance, outstanding work achievements, and strong potential for development Be under 35 years old (at 1st
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at the University of Melbourne. Learn more How can we help? Find a scholarship View scholarship guide FAQ Contact us
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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via