33 phd-in-computer-vision-and-machine-learning-"Multiple" PhD positions at University of Adelaide
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The Neurophysiology of Human Movement Group at the University of Adelaide is seeking a full-time PhD student for a fully funded PhD Scholarship examining “Brain oscillations and motor function in
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These supplementary scholarships (top-ups) are funded by the Australian Research Council to support 2 full-time PhD students who wish to undertake research in the field of battery recycling: Project
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research papers. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A University of Adelaide Research Scholarship for 3.75 years, paid
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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This scholarship is funded by the ARC Training Centre for Battery Recycling to support a full-time PhD student who wishes to undertake research in the field of battery recycling: Project 7.1
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These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery
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, contributing to ground-breaking discoveries with real-world implications for cancer patients. To be successful you will need: A PhD in (awarded or near completion) in Computational Biology, Computer
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These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery
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The Adelaide Graduate Research School (AGRS) and the Royal Geographical Society of South Australia are partnering to create three internship opportunities for University of Adelaide PhD students
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need: A PhD in Molecular Biology, Cell Biology, Genetics, Biotechnology, or a related area. Expertise and interest in cancer and/or stem cell biology and associated techniques. Outstanding academic track