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electronics and a strong passion for developing space payloads and collaborating on space projects with external partners, including space agencies. This position is part of a team led by Professor Paulo de
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the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Keith Ransom Research Fellow- School of Computer and Mathematical
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9266 9000 (option 3,1), quoting the reference number. Please note applications will not be accepted via this email address. Applications close: Sunday 6th of July 2025 Disclaimer: Please note that there
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about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Nicole Turle, Recruitment Operations by email to recruitment.sea@sydney.edu.au
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these ideas to areas such as Computer Vision, AI, social network modelling (and related areas) will be a plus: but the candidate must engage with the theoretical aspects of the project. The position requires a
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of optical technologies. You may also: Have expertise in theoretical modelling and simulation of optical devices. Possess experience in experimental semiconductor device physics and electronics. Demonstrate
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of optical technologies. You may also: Have expertise in theoretical modelling and simulation of optical devices. Possess experience in experimental semiconductor device physics and electronics. Demonstrate
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languages (C, C++, C#, Python, Matlab), experience with machine learning in robotics or computer vision, a desire to advance resilient, introspective processing architectures in robotics, a desire to work
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report writing, with the ability to draw clear conclusions from complex data. strong numeracy and statistical analysis skills, with a background in mathematics and/or statistics. required skills: computer
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double-edged sword” funded by the Australian Research Council. The project will use state-of-the art computer models that incorporate the latest frameworks on soil organic matter interacting with plant