439 phd-studenship-in-computer-vision-and-machine-learning PhD positions in Australia
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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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locations, fostering a rich and dynamic learning experience. Download the Program Guide for more information. Right across Australia, with 500 scholarships from Honours to PhD - your potential is limitless
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Scholarship base Merit Based Value CSIRO shall award the student an iPhD Program Scholarship annually (GST exempt), starting at $35,000 (2025 rate), indexed at 3% annually, for a maximum of 4 years. This is
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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invitation to apply to the Monash PhD program will be issued and the Faculty process will be underway. Enquiries: Further enquiries about the scholarship or application process should be directed to structured
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PhD program will be issued and the Faculty process will be underway. Enquiries: Further enquiries about the scholarship or application process should be directed to structured-biointerfaces@monash.edu
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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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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have