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% tuition fee reduction applied annually for the duration of your program for up to 3 years (144 credit points). Number offered Variable based on funding. Selection criteria Awarded based on academic
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reduction applied annually for the duration of your program for up to 3 years (144 credit points). Number offered Variable based on funding. Selection criteria Awarded based on academic achievement. The 20
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research at leading international conferences. Indicative total stipend: approximately $54,280+ per annum (tax-free), plus up to $13,265 in travel support and access toEmotiv neurotechnology, computing and
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. This project is funded through the Australian Government National Industry PhD Program and provides a unique opportunity to conduct cutting-edge AI research while working closely with industry to translate
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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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. Demonstrated leadership experience with the ability to lead, coach and coordinate teams to achieve operational objectives. Experience managing budgets, financial administration and reporting. High level computer
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Network Engineer Job No.: 697162 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $110,527 - $121,227 pa HEW Level 07 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative...
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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processes and systems KSC 8: Advanced computer literacy and proficiency in Microsoft Excel and spreadsheet-based data analysis. This criteria is essential. Diversity is one of our greatest strengths at Monash
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across