44 coding-"https:" "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Monash University in Australia
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provide multiple competitive scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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preparation and publication. https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program As the Research Fellow - Data Scientist, you will: Develop and implement data management
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This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander. More information about the opportunity can be found here: https
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and manuscript preparation and publication. https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program As the Research Fellow - Data Scientist, you will: Develop and
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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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new x-ray imaging techniques from the synchrotron to the laboratory Transforming breast cancer imaging with x-ray phase contrast Webpage: https://xrayimagingmonash.wordpress.com/ For further details
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are being set up, those from the Monash Energy Institute will give you a first idea of the breadth of our activities: https://www.monash.edu/energy-institute Note: while only "Optimisation" is selected as the
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, p226, p227] http://dx.doi.org./10.1007/3-540-61863-5_48 Gioacchino, F. D. & Fonseca, J. Q. da. An experimental study of the polycrystalline plasticity of austenitic stainless steel. Int J Plasticity 74
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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect