444 computer-security "https:" "https:" "https:" "https:" "UCL" positions at Monash University
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this goal, we expect to deeply and comprehensively explore the following directions: 1) Investigate privacy-enhancing techniques (e.g., differential privacy and/or secure multi-party computation) and design
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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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Program Coordinator Job No.: 690992 Location: Caulfield campus Employment Type: Full-time Duration: 2 year fixed-term appointment Remuneration: $83,424 - $95,825 pa HEW 5 plus 17% employer
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Safety and Technical Operations Coordinator (Chemistry) Job No.: 685326 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $106,789 - $117,128 pa HEW
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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Online fraud, also referred to as cyberscams, is increasingly becoming a cybersecurity problem that technical cybersecurity specialists are unable to effectively detect. Given the difficulty in the automatic detection of scams, the onus is often pushed back to humans to detect. Gamification and...
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This project will investigate the security and privacy challenges emerging from the adoption of digital education credentials, such as W3C Verifiable Credentials. As universities and employers
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Research Fellow - CONNECT Consumer Program - Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 687556 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning