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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
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This PhD research scholarship (Learning Lessons from Drug Resistance to Tackle Herbicide Resistance) is funded by the Australian Research Council to support a full-time PhD student to undertake
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The Australian Institute for Machine Learning (AIML) offers new PhD scholarship opportunities in Industrial AI. These full-time scholarships support students undertaking their PhDs in AI and machine
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5.2: Deep Eutectic Solvents (DES) are increasingly being studied for their potential role in lithium-ion battery recycling. DES has limitation for industrial application due to its poor performance in
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into fundamental molecular events. At the same time, access to translational pipelines will enable the candidate to apply their learnings in a meaningful way, revealing novel therapeutic targets critical for cancer
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research in the field of sustainable housing. Assisting the organisation in developing a cutting-edge, AI-driven platform for home retrofitting digital products. Learning about the integration of AI with
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influence motor system function and learning in healthy people of different ages. This cutting-edge approach will provide new information on the neurophysiological basis of synchronised brain oscillations and
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educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be
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educational powerhouse that fosters economic and social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be
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finite element methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data