74 structures "https:" "https:" "https:" "https:" "IMT Atlantique" "IMT Atlantique" positions at Monash University
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng
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Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages: https://www.monash.edu
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statement of interest Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages
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Our industry partners are developing software for automation of Hydrogen Deuterium Mass Spectrometry, which can connect structure, behaviour and function of proteins, for understanding diseases and
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candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in edge decomposition of graphs or fractional structures in graphs. You will have the ability to solve
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development — core technologies for the next decade of AI-powered engineering. This is a collaborative research project with Atlassian. Check out some recent work: - https://www.atlassian.com/software/rovo-dev
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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they fulfil the criteria for Masters by Research & PhD admission at Monash University. Details of the relevant requirements are available at https://www.monash.edu/engineering/future-students/graduate-research
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programming skills and a good background in maths. This project would set you up for a follow-up honours project in this area. https://github.com/cormackikkert/CEGARBox https://github.com/cormackikkert
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structured domains such as trees and graphs is a challenging but important problem. This project aims to solve these limitations. Novel Adversarial Machine Learning algorithms for structured data will be