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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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) Application process Please contact us via the EOI form Enrolment Requirements Recipients must complete all the milestones and remain enrolled on a full-time basis for the duration of the scholarship Enquiries
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intermediate processes to restore DES composition for reuse. It will investigate the performance of existing DES(s) on mixed battery chemistries to propose a synergistic ionometallurgy design. Lastly, it will
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for probing the atomic world. Co- supervisors are typically collaborators from within the Physics of Imaging group. Example project areas are: Developing ways to image atoms in space, energy and time Designing
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criteria Full time enrolment Australian citizen Australian permanent resident New Zealand citizen New Zealand permanent resident Fee-paying international students Application process Future student, please
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to $5000 (total) for computer / software / conference attendance to present PhD results. Scholarship Details Maximum number awarded 1 Eligible courses Higher degree by Research (PhD) – in Health Sciences
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Conventional x-ray imaging is firmly established as an invaluable tool in medicine, security, research and manufacturing. However, conventional methods extract only a fraction of the sample
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a research degree at Monash, please click here . Apply for a scholarship Please follow the 3-step application process here . Application dates for the commencement of the Integrated PhD program in
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use imaging surveys at X-ray, optical, infrared and radio wavelengths to measure the emission from stars, active galactic nuclei, warm dust, atomic hydrogen and relativistic electrons. Spectroscopic
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analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for future autonomous instrument control and self-directed experimentation will be developed, recognizing