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on leveraging machine learning and generative AI techniques for proactive mental health monitoring. The project comprises three primary research packages that address distinct aspects of the overall goal
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machine learning to identify meteorites in aerial imagery, with great success, and recovered multiple meteorites using a UAV. This project will build on this success, by extending the drone approach to new
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on leveraging advanced computer vision (CV) and deep learning (DL) techniques to develop a state-of-the-art computer-aided detection and diagnosis (CAD) system for early-stage Alzheimer's disease (AD) detection
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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. You will have extensive experience analysing longitudinal data (e.g., risk prediction, machine learning etc), an established international publication record and success in attaining research funding
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coordinators with course and unit preparation, offering efficient advice and guidance in response to staff queries as well as other administrative processes related to learning and teaching. We are looking
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candidates will also have proficiency with the following: Qualifications: Possession of AWS Certified Data Engineer – Associate, AWS Certified Data Analytics – Speciality, Machine Learning Engineer, or other
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ability to coordinate the administrative requirements of a functional area. Demonstrated advanced computer skills, particularly in the Microsoft suite of applications. Demonstrated organisational skills
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) at [email protected] . Alternatively, call the Curtin Institute of Radio Astronomy and the International Centre for Radio Astronomy Research Phone: (+61) 08 9266 4669. To learn more about CIRA, please
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: Demonstrated experience in and ability to coordinate the administrative requirements of a functional area. Demonstrated advanced computer skills, particularly in the Microsoft suite of applications. Demonstrated