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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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candidate will have demonstrated experience in student admissions for universities or TAFEs, with knowledge of educational systems, visa regulations, and national codes. They will possess strong
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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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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 require use of advanced quantitative
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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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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We have a range of potential research projects on offer in partnership with VIFM - https://www.vifm.org/ - looking at ML techniques in predicting forensic diagnoses / image analysis, across
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have their $125 course application fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application (include your country of citizenship in your fee
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation