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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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analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing and conducting laboratory-based animal behaviour studies Experience in writing papers
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Full‑time, 3-year fixed term opportunity with potential to extend Join the Snow Vision Accelerator to drive a new research and drug‑development initiative at the University of Sydney’s School of
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categories View less categories Academic Discipline Biological Sciences , Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences , Life sciences Job Type Academic Posts
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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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machine vision species classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
categories View less categories Academic Discipline Computer Science , Engineering & Technology , Mathematics & Statistics , Physical Sciences Job Type Academic Posts , Research Fellowships Contract
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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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differential categories, tangent categories, and other category theory related topics, whether this be for mathematics (such as for differential geometry, algebraic geometry, etc.) or for computer science
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within the classification level as required. About you a Doctorate or PhD in a relevant field and demonstrated experience in vision science research demonstrated understanding of the subject matter