32 electrical-machine-design-"https:" "https:" "https:" "https:" "https:" "https:" Fellowship positions at Monash University
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Research Fellow – AI/Machine Learning in Pharmaceutical Data Job No.: 697007 Location: Clayton campus Employment Type: Full-time Duration: 11-month fixed-term appointment Remuneration: $86,195
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damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development
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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development and Regeneration
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Remuneration: $118,974 - $141,283 p.a. Level B plus 17% employer superannuation Develop data management protocols for data analysis Analyse high-frequency neuro data from ICU trials Drive innovation in
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discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking an outstanding and highly motivated Research Fellow to join its internationally
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spectroscopy and electrical measurements. Desirable Edge: High-throughput experimentation, laboratory automation, programming, robotics, machine learning, or autonomous experimental design experience will be
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the future of digital health Be surrounded by extraordinary ideas driving innovation in data science and health The Opportunity We have an opportunity available for a Research Fellow, Data Scientist to join
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successful candidate you will work with a team on Redesigning Digital Justice, an ARC Discovery Project on improving the design methods and technologies used in online hearings. The project brings together
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machine learning can be used to understand complex behaviours such as reliability, competence, transparency and trust. The position will design and develop innovative reasoning algorithms and knowledge