392 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University in Australia
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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 their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The...
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My area of expertise is condensed matter theory. I am interested in the interplay between interactions and unconventional electronic properties of novel materials including graphene, topological insulators and Weyl semimetals. The former favours quantum states of matter (e.g. excitonic...
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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Performance Computing platform (MASSIVE) to do the experiments.
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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the financial pressures of study. Further, as a result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and
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Monash Mentor Scholarships The Monash Mentor Scholarship is designed to recognise excellence of students participating in the Access Monash Mentoring program. Mentors have the opportunity to develop
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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for inference, yet differs from standard Bayesian approaches through its information-theoretic foundation. The MML87 approximation achieves computational tractability while remaining virtually identical to Strict
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large, culturally diverse undergraduate and postgraduate cohorts, and maintain an active program of research and scholarly activity. The Department of Management is a diverse, inclusive group committed