398 computer "https:" "https:" "https:" "https:" "Dr" "UCL" positions at Monash University in Australia
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Monash Rural Health, overseeing budgets, external funding programs and financial reporting. This includes supporting major funding initiatives such as the Rural Health Multidisciplinary Training Program
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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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a scholarship has assisted me in relieving some of the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies
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This project focuses on brain network mechanisms underlying anaesthetic-induced loss of consciousness through the application of simultaneous EEG/MEG and neural inference and network analysis methods. In this work we study the effects putative NMDA antagonists xenon, a potent anaesthetic, and...
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E....
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Public Health and Preventive Medicine Honours program at the Monash Alfred campus (Bachelor of Medical Sciences (Honours) (MED4301 & MED4302), Bachelor of Biomedical Sciences (Honours) (BMS4100 & BMS4200
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based on their location or textual information. The aim of this project is to build a next-generation navigation...
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth