502 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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be part of a diverse, international research group led by Professor Joanne Etheridge and will enjoy a creative and collaborative environment for the development and application of electron microscopy
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make...
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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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provide high-quality administrative services to support the Campus Engagement activities. Your role will be crucial in managing event logistics, monitoring attendance, handling bookings, preparing program
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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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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior
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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...