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Computer Science, Applied Mathematics/Statistics, Robotics, Physics, or related discipline, with an excellent academic record. Demonstrated expertise and leadership in computer vision and machine learning research
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academic record. Demonstrated expertise and leadership in computer vision and machine learning research, including object detection, multi-object tracking, and segmentation. Evidence of leading research
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of participation in research leadership. Broad experience with data management processes and techniques, building and running data analysis tools and pipelines, machine learning and AI techniques and tools. Position
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. operate library-related technologies to carry out work activities. ensure that print collections are accessible and assist with equipment operation for the repair and labelling of materials. learn new tasks
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of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available About the position We are seeking a Research Fellow with
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data management processes and techniques, building and running data analysis tools and pipelines, machine learning and AI techniques and tools. Position description: POSITION DESCRIPTION [Research
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machines and drives Electrification Key Responsibilities As a Lecturer (Level B), you will: Deliver high-quality teaching across undergraduate and postgraduate programs in electrical and electronic
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into practical insights using AI, machine learning, and data analytics. You’ll work with high-resolution images, LiDAR, and other advanced technologies to support research that helps farmers grow healthier crops
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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track
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operational support to meet the needs of the education team, including managing the compilation and regular updating of learning resources and materials. Working under broad supervision, the Education Support