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this scholarship: Students must maintain full-time enrolment and satisfactory academic performance as determined by the faculty. The Unit Codes: BEX3024 Industry Based Learning Project Unit BEX3012/3112 Work
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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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spectroscopy" "Chemical abundances in star clusters using Korg, the first spectral synthesis code developed in two decades" web page For further details or alternative project arrangements, please contact
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: The outcome of this project will directly contribute to the roadmap of securely developing on-device ML applications and systems, i.e., preventing capital loss of companies and protecting the data
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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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requirements are available at https://www.monash.edu/engineering/future-students/graduate-research/how-to-apply Your application will be looked upon favourably if you: Graduated in the top 10% of your year level
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, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.
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line with the Australian Code for the Responsible Conduct of Research, and confidently act as the designated authority for ensuring compliance with research misconduct, integrity, compliance and ethics
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various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54
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Funding reference https://www.monash.edu/it/nextgen/ai-in-mental-health/projects/headspace-national Learn more about minimum entry requirements . Primary supervisor Levin Kuhlmann Apply now Supervisor