202 phd-studenship-in-computer-vision-and-machine-learning positions at University of Adelaide
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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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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
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applies. Fulltime, continuing position, located centrally in the heart of the vibrant CBD (Grenfell Street). An exclusive role has opened up in the capacity of Education Program Manager within our
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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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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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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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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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category is valued at up to $150,250 over up to 3.5 years for a PhD (see Elevate website as payment varies dependent on program). Eligibility: Applicants are required to meet three eligibility criteria
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The Adelaide Graduate Research School (AGRS) and the Adelaide Park Lands Association are partnering to create an internship opportunity for a University of Adelaide PhD students, to contribute to a