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analysis of data from a Laboratory Information Management System. Key responsibilities will include: Core Scientific Contribute to the coding and development of custom data analysis algorithms and modelling
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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. This is an exciting opportunity to work within a multidisciplinary team to design, develop, and validate modular frameworks and algorithms for adaptive intelligent systems. The position provides
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of Mathematics and Statistics are currently seeking two Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma
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Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University of Sydney in a
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the prediction of molecular crystal structures, their growth and their properties in close collaboration with fellow team members. Developing algorithms for efficient sampling of candidate crystal structures and
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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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premium student experience and to developing leaders for society. The School’s vision is to be the place of choice for tomorrow’s business leaders to study and learn their craft. It offers a range of
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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post