659 computational-physics "https:" "https:" "https:" "https:" "UCL" positions at Monash University
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different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application page .
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This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details
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equity schemes (SEAS) to be automatically considered. For current Monash students, apply directly to Monash. This scholarship cannot be deferred. Every scholarship may have a different application process
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Environmental Engineering Mechanical and Aerospace Engineering Electrical and Computer Systems Engineering Chemical and Biological Engineering Materials Science and Engineering About the Role We are seeking
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people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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to deliver high-quality technical services in support of our Geomechanics program. In this role, you will: Oversee and conduct a range of standard and specialist geotechnical tests. Train and supervise
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excellence, process integrity and continuous improvement across professional education activities. About the Role The Professional Education Officer supports the effective delivery of professional education
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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This project involves model-based depth of anaesthesia monitoring using autoregressive moving average modelling and neural mass and neural field modelling of the electroencephalographic (EEG) signal. This will be achieved through frequency domain and time domain state and parameter estimation...
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a conditional generative model that dynamically adapts to the confidence of the spectral representations. By quantifying predictive uncertainty, the framework will guide the generation process—firmly