392 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Monash University
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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annum for outstanding students). Additional financial support is available through research and teaching assistance work. The Opportunity Within the Integrated PhD Program, a PhD opportunity is available
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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). This grant will fund the PAtient-Centred Evaluation of medical devices (PACE) program for the next 5 years. The PACE project aims to improve how medical technologies are assessed by involving patients and
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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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Master of Commerce Scholarship Sir John Monash Fee Scholarship The Master of Commerce is a research-oriented programme preparing students for a PhD and an academic career. Offered as part of
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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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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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Remuneration: Academic Roles: $118,974 - $141,283 pa Level B (plus 17% employer superannuation) Program Coordinator - $106,789 - $117,128 pa HEW Level 07 (plus 17% employer superannuation) Amplify your impact at
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch