9 data-"https:" "https:" "Computer Vision Center" Postdoctoral positions at Monash University
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algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
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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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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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question will be developed with the student and could focus on publishing, peer review, research funding, scientific careers, collaboration, or the norms governing AI use. Projects may also use data from
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, as given by the Occupational Information Network (O*NET) data-base. Using a subset of these occupations, we survey a group of experts to predict (probabilistically) whether these occupations will be
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, as given by the Occupational Information Network (O*NET) data-base. Using a subset of these occupations, we survey a group of experts to predict (probabilistically) whether these occupations will be
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project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore deposits form and where they might be
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opportunities to work with the project's economic geology team, testing your models against real field and experimental data and seeing your results feed directly into questions about how magmatic ore