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through theory and simulation and/or experimental design and testing; developing new image reconstruction algorithms for providing more information with less radiation; and applying our techniques
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, scientific computing, automated data analysis, or computational modelling. Candidate Requirements Applicants will be considered provided they fulfil the criteria for PhD admission at Monash University. Details
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Council (https://www.csc.edu.cn/chuguo ) for the living allowance and support. The CSC application guidelines and deadlines will be specified on the CSC website, typically opening in March. Applicants
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” of novel stretchable structures by advancing numerical modelling, data-driven, and optimisation approaches in a nonlinear regime. Project Background Stretchable mechanical structures are a subset of
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. Analysis of this data will employ both qualitative and quantitative methods. Work on WP-2 will suit someone with an interest and aptitude for coding administrative data using large language models. It will
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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
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for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging this separate
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. Wide-field quantum microscopy of exotic materials High
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models