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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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and multidisciplinary team working to uncover the genetic foundations of yield potential in sorghum. Our research group offers a positive working environment and strong opportunities for cross
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algorithms and techniques and design, implement, test, and maintain software/tools embodying those methods. You will prepare and submit grant proposals to external funding bodies. This position will also
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Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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Job no:521360 Work type:Full Time Location:Crawley Categories:Arts, Business, Education, Law Lead cutting-edge computer vision research and deployment to advance traffic video analytics and real
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, you’ll lead research into the genetic drivers of Bt resistance in Helicoverpa spp., developing new tools and frameworks to understand pest population dynamics across farming landscapes. As part of our
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for the Australian Grains Industry (AAGI) program. The ideal candidate will be an expert in hyperspectral remote sensing with significant experience in data science for geospatial data analytics. This research project