425 professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Monash University
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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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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography), singular optics, using electrons, atoms and light and the exploration of complex systems using...
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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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Course Director of the BCom and BEc at the Clayton and Malaysia campuses. An enthusiastic supporter of the BCom Honours program, and educational opportunity in general, Dr Booth supervised a large number
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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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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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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you...
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful applicant will work as part of a larger research team. Reasoning and decision making under...
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...