32 algorithm-development-"Newcastle-University"-"Newcastle-University" Postdoctoral positions at University of Sydney in Australia
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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Full-time, fixed term opportunity for two years Exciting opportunity to be a Postdoctoral Research Associate in Tuberculosis Vaccine Development Base Salary starting at $113,400 + 17% superannuation
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will apply and develop their expertise in conducting research to further the research agenda of Professor Edward C. Holmes FAA FRS. They will contribute to research efforts as part of an inter
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hands-on research role provides substantial intellectual freedom. In this role you will lead the development of advanced osteochondral organoid models, employing cutting-edge bioceramic 3D printing
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Sydney initiative aims to build on and utilize expertise within SAIL for research, development and translation of novel photonics and optics technologies into industry and government applications. The SAIL
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activities. The Sydney EarthBank node will join the national AuScope Geochemistry Network , an Australian consortium of Earth Science institutes cooperating to develop national geochemistry research
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District. Your key responsibilities will be to: undertake collaborative research in metagenomics focusing on the detection and analysis of bacterial pathogens in respiratory samples develop novel approaches