496 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" positions at Monash University in Australia
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work collaboratively to provide expert advice and guidance to stakeholders and help drive continuous improvement across processes and services. You’ll also build strong partnerships across teams
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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-time, 12-month fixed-term position based at Monash University's Clayton campus. Reporting to the Events Manager, you will assist in the delivery of a wide range of graduate student engagement activities
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Overview This project proposes a novel quantum-enhanced learning analytics framework for higher education, focusing on early identification of at-risk students and optimisation of intervention strategies using hybrid quantum-classical approaches. While current learning analytics systems rely on...
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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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value $21,500 Number offered Varies (Depend on funding) See details Bachelor of Computer Science Moksh Receiving a scholarship has been my motivation to study harder. It has also given me more confidence
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. Benefits Accommodation fees to the value of $10,000 paid for one year only directly to Monash Residential Services (MRS). Participate in the Faculty Indigenous Vertical Peer Program. Accommodation over
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Performance Computing platform (MASSIVE) to do the experiments.
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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...