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Professor/Associate Professor in Environmental Informatics Job No.: 656846 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $164,615 - $181,348 pa
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concepts from community informatics, Information and Communication Technologies for Development (ICT4D) design, the social sciences, human-computer interaction, and computer science. We are seeking
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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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coordinate clinical quality registry initiatives within the Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) Database Program. This position will play a key role in supporting
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implement a community-led model for strengthening bushfire resilience and disrupting structural disadvantage. The program brings together researchers from social sciences, business, medicine and urban design
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extraordinary ideas - and the people who discover them The Opportunity Reporting to the MPCCC (Monash Partners Comprehensive Cancer Consortium) Program Manager, the focus of this role will be to provide a range
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As humans we have the ability, and even the necessity of distinguishing between orders that are ethical, safe and necessary and orders that may be harmful or unethical. Theoretically this ability should exist in robots. To coin Assimov’s second law “A robot must obey orders given by human beings...
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to engage with their community and support other Indigenous students to access higher education. Total scholarship value Up to $18,000 Number offered Two See details Bachelor of Engineering (Honours) Jacob
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Program and Business Lead Job No.: 664918 Location: Melbourne CBD Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration:$131,473 - $139,551 pa HEW Level 09 (plus 17
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. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data