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technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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Scholarship: Flexible road pavement design incorporating wicking geotextile and machine learningFull-timeDVC ResearchNathan, QLD PhD Scholarship: CSIRO Next Generation in Collaboration with Blue CarbonFull
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simulations using DFT (particularly of surface processes); kinetic Monte Carlo simulations; molecular dynamics simulations; classical and machine-learned force fields. Highly developed skills in scientific
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student experience. You will bring to the role: Proven academic leadership with a PhD and substantial experience in curriculum development, quality assurance, and learning and teaching within a university
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. The underwater acoustic communication technologies will help. The school is focusing on research in AI/machine learning and signal processing which are the research areas in this proposed project. We have
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science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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diseases will create an excellent environment for the training of PhD and MRES students. The Macquarie Medical School has active research programs in biomedical, translational and health services domains