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Fixed term, full time, two-year position. Located in the School of Electrical and Computer Engineering in J03 Office, Engineering Precinct, Darlington. Opportunity to provide education and
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much
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or a related discipline, or equivalent relevant qualifications and experience. Strong expertise in the area of effective use and responsible use of digital technologies, including AI, machine learning
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communication skills, plus the ability to work independently and as part of a team. Proficiency across a range of computer systems and databases, with the willingness to learn new technologies. Special
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comprehensive metadata schema is followed, consistent with relevant industry standards (e.g., ISO 19115). 2. Geospatial Analysis and Machine Learning: Develop and implement analytical tools and routines
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Child Health at UNSW UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health
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for research leadership. Strong experience in at least two of the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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research in areas such as machine learning, clinical decision-support, medical imaging, and data-driven health services innovation. The position is expected to develop an independent research profile