259 electric-machine-"https:" "https:" "https:" "https:" "https:" positions at Monash University
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energy availability, electricity prices, charging infrastructure and battery status. It will explore spatiotemporal data management, optimisation and machine learning techniques for individual EVs
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status of northern Australia's remarkable lizard fauna under climate change, invasives and habitat loss. (Lab: https://www.chapplelab.com ) Why is genetic variation for fitness so high? (A/Prof. Tim
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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126/science.aao0185 Zollman, K. J. S., García, J. and Handfield, T. “Academic journals, incentives, and
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. This study aims to construct a transparent, non-invasive predictive framework combining machine learning and explainable AI (XAI) to differentiate malignant from benign pelvic masses, stratify patient risk
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, social systems, and biology. Recent work includes evolutionary models of cooperation and methods for learning to cooperate against diverse opponents. Publications: http://garciajulian.com References García
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, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to apply Artificial Intelligence (AI) and Machine Learning (ML) to colorectal cancer research. Research Aim
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. The increasing availability of electronic health records, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML
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for Artificial Intelligence (AI) and Machine Learning (ML) to support earlier and more personalised healthcare. Research Aim This PhD research aims to develop advanced AI and Machine Learning methods
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data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop advanced Machine Learning methods for prediction, risk stratification, clinical