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This project is technical in nature and would suit a candidate with a background and interest in #Java programming, health informatics or health data (or a combination thereof). The primary aim
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This is one of our CSIRO Next Generation AI graduate programme PhD projects with Future Wellness Group: https://www.monash.edu/it/ssc/raise/projects/personal-future-health-prediction Note: *** Must
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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This project is technical in nature and would suit a candidate with a background and interest in web programming, health informatics or health data (or a combination thereof). One potential area of
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Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia and globally. We are working on harnessing new technologies such as artificial intelligence
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that is vital to their lives, such as information on their entitlements, public services, health, education or work opportunities. Timely access to information is essential to perform many economic, social
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IT for social good agenda in addition to its technical attractiveness. #digitalhealth #health #AI #ML #imagenalysis #computervision #CT #forensics
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In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees. Bee populations are threatened worldwide due to a number of factors
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Indigenous applicants are strongly encouraged to apply. Ideally the applicants will have an excellent academic track record and/or experience in IT or health IT. Knowledge and skills relating to any
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health “big data”, clinical registries, emergency medicine and orthopaedic trauma. We will leverage from VOTOR, the largest and most comprehensive orthopaedic trauma outcomes registry worldwide to ensure