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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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, Associate Dean, Research and Industry Engagement via email K. Helbig@latrobe.edu.au Recruitment Enquiries: Lisa White, Talent Acquisition Consultant, via email Lisa.White@latrobe.edu.au Position Description
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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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one year of study. 3. **Submit Your Application:** - Include your **written response**, **full name**, **contact details (email and phone)**, and **proof of enrollment** in your current course. - Email
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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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or Rebecca Astar, Recruitment Operations by email to recruitment.sea@sydney.edu.au Copyright The University of Sydney The University reserves the right not to proceed with any appointment. Click to view
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ARC Industry Laureate Post Doctoral Research Associate in Effecting Solutions for Risk to Remote Ind
formats and alternative application methods. To discuss your specific requirements, please feel free to contact Kim Groizard +61 3 9035 3218 or send an email titled 'Reasonable Adjustments' to hr-careers
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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