309 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of New South Wales
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collaborating closely with industry and research partners. For further information, please visit: https://www.unsw.edu.au/engineering/our-schools/electrical-engineering-telecommunications Position Summary
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domain modulation, channel coding and signal processing, including channel estimation and detection, and/or machine learning applications for wireless communications. Demonstrated track record
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, working both independently and collaboratively Effective communication, time management, and organisational skills, with a commitment to continuous learning, workplace values, and safety standards Benefits
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with a range of computer systems and applications, including Microsoft Office 365 suite including SharePoint, Teams, OneDrive, Excel, Word, PowerPoint and Outlook. • Excellent time management skills
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for Aboriginal and Torres Strait Islander persons only, to fulfil UNSW’s goal of a representative workforce rate. Evidence of Aboriginal and/or Torres Strait Islander status will be required https
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on the benefits, please visit https://www.jobs.unsw.edu.au/lifestyle-benefits To Apply: If this is of interest to you, please submit your application online: CV, Cover Letter and responses to the Skills and
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building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Skills and
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the implementation and evaluation of learning, teaching and assessment programs for coursework students. Working closely with the Academic Lead, Indigenous Studies, and Course Convenors, the position supports
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for innovation and impact. For more information about the Faculty of Engineering please refer to the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills and Experience Bachelor’s degree in
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an exceptional environment for ambitious academics who want to contribute to world‑class innovation, inspire student learning, and help advance the future of safe, high‑performance, and sustainable structural