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This PhD project focuses on the design and evaluation of hybrid quantum–classical algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum
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will be considered for the Scholarship as part of the selection process for the Integrated PhD program. Information about the application process for the Integrated PhD program is provided here
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in analogue formats in the first place. However, the preservation of information is often a neglected aspect of community informatics projects and of information behaviour research. This PhD project
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background in AI/ML, data science, or signal processing Interest in music informatics, emotion modelling, or multimodal AI Ability to implement and evaluate machine learning models independently Commitment
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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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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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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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!! Please note that the two PhD scholarship positions described below have been taken. While there are still opportunities for other students to work in similar areas of reserach, new applicants
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decision-making ? Elevate your career in economics with the Master of Applied Econometrics (with PhD pathway) scholarship. This prestigious opportunity is designed for aspiring professionals who seek
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one