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release, and awards. Using quantitative data analysis methods, the project aims to identify patterns and factors associated with successful film outcomes. This minor thesis is suitable for students
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qualitative research and familiarity with analytical software (e.g., SPSS, Qualtrics,NVivo, RevMan) Experience working with participants with neurological conditions will be highly regarded. About Monash
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software such as NVivo Well-developed written and verbal communication skills A strong commitment to confidentiality, research integrity and quality Ability to work collegially within multidisciplinary
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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://careers.pageuppeople.com/513/cw/en/job/685291/phd-opportunity-indigenous-energy Monash Energy Institute and Faculty of Information Technology invites applications for a fully funded, 3.5-year PhD scholarship
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and
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Explainable AI or XAI is essential. We will use a variety of XAI methods, such as Grad-CAM, and others. This project will involve a lot of experiments using DL/AI methods. We will use the Monash High
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possible through the philanthropic support of the Narodowski Investment Trust. The following 6 scholarships will be awarded each year: Alex Raydon PhD Scholarship Alex Raydon and Nina Narodowski PhD
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, the developed methods can help identify emerging trends and patterns in rhetoric or planning activities, allowing for timely intervention by authorities. These monitoring systems are essential for public safety
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning