661 computational-physics "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Monash University
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable
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Australian permanent resident Australian humanitarian visa holder You must meet the following criteria: A student commencing a Botanical Sciences Honours Program in the Faculty of Science at a Monash campus in
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Minds , a leadership program for first year students. Number offered One scholarship available per year Selection criteria Based on academic achievement and need. Preference will be give for a student
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will interact with Australian and international researchers in the fields of solid-state physics, materials science and nanotechnology, gaining state-of-the-art expertise in these areas of research. "2D
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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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to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request
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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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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...