614 associate-professor-computer-science-"https:" "https:" "https:" "https:" positions at Monash University
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computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
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You must meet the following criteria: Commencing or current student, enrolled in or intending to enrol in an undergraduate single or associated double degree in the Faculty of Information Technology
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, specifically mammalian cell culture and microscopy. Proven ability to operate and educate clients in the full range of techniques and associated instrumentation across best practice cell culture, imaging and
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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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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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. You may be eligible for the Sir John Monash Scholarship for Excellence . are commencing in the Bachelor of Medical Science and Doctor of Medicine (MD). in Monash Pathway programs (e.g. Monash College
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The Opportunity We are seeking a Clinical Site Administrative Officer to support the delivery of the Medical Student Program within the School of Translational Medicine, based at The Alfred Centre. This role is
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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...