77 algorithm-development-"Multiple"-"Prof"-"UNIS"-"St" positions at Monash University
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fixed-term appointment Remuneration: 4-year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) 4-year Project Expense and Development package of $13,000 per annum
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the Monash Centre for Health Research and Implementation (MCHRI), a part of the Monash Health translation precinct, working closely with team members from multiple departments across these organisations. About
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at Monash is multidisciplinary, spans multiple campuses globally and involves partnerships with industry and institutions worldwide. The Faculty is organised into three departments - Data Science & Artificial
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, and evaluation of advanced software engineering techniques and methodologies aimed at detecting, mitigating, and preventing misinformation online. The successful candidate will develop novel AI-driven
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Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash University. ABN 12 377 614 012 Accessibility - Disclaimer and copyright - Privacy , Monash University CRICOS Provider Number: 00008C, Monash College CRICOS Provider...
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This project will seek to further the research into and development of machine learning techniques that may be used to triage, classify, and otherwise process material of a distressing nature (such
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are based on the Cassowary algorithm, developed in part by Monash researchers. While constraint-based layout is powerful, it can be difficult for users to understand the interactions and behaviour
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The project involves design, implementation and evaluation of rule-based chatbot to support students when they study information from multiple texts, e.g., reading a few articles about global
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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, representing a significant reduction of the cost of the MRI scan per patient. This project will develop cutting edge data processing methods for mobile MRI scanners and testing in clinical enviroment.