101 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" Postdoctoral positions in Australia
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Postdoctoral Research Associate - Radio Frequency Fingerprinting using Machine Learning Employer UNIVERSITY OF SYDNEY Location Sydney, Australia Salary $93,424 - $125,896 + 17% superannuation Closing
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frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 12 months Base salary will be in the
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to March 2027 Base salary will be in the
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skills in video-based behavioural analysis and/or applying computer vision or machine learning methods to biological data. Applicants should have good working knowledge of experimental design for welfare
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
machine learning, linear logic, etc.).While the position start date is flexible, the successful applicant must have completed their PhD prior to commencing the role. The position can commence at any
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mathematics (such as for differential geometry, algebraic geometry, etc.) or for computer science (such as machine learning, linear logic, etc.). While the position start date is flexible, the successful
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Primary supervisor David Dowe Co-supervisors Dr Michelle Rendall Research area Machine Learning Automation has affected employment at least as far back as Gutenberg, the introduction of the printing