265 algorithm-development-"Prof"-"Prof"-"Washington-University-in-St" Fellowship positions in Australia
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Campus About This Opportunity The Centre for Integrated Preclinical Drug Development (CIPDD), based in UQ’s School of Biomedical Sciences, is seeking a passionate Research Officer to join our dynamic team
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% Superannuation (Academic Level B) Based at our St Lucia Campus About This Opportunity Lead preclinical vaccine development as part of an established research group developing a Rapid Response Vaccine Pipeline
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research in computational pure mathematics through the development of mathematical software Base Salary, Academic level A/B $109,263 - $151,328 + 17% superannuation About the opportunity The School
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, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both internally
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modeller to help lead a collaborative research programme between the University of Queensland and King Abdulla University of Science and Technology (KAUST) with Prof David Suggett. Our shared goal is to
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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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challenges: Successful candidates will contribute to one or more of the following research domains: development of autonomous navigation and path planning algorithms for lunar terrain traversal and regolith
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hyperspectral imagery, useful for disease detection and monitoring. Develop validated satellite data simulation methodology. Develop disease detection and differentiation algorithms demonstrably effective on both
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years of continuous R&D. It transforms pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics