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University Human Research Ethics Committee. Swinburne is a global university of technology and design, focused on creating solutions that transform the future for the benefit of people and their environments
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: Level B $114,645 – $136,136 or Level C $140,433 - $161,926 p.a plus 17% super Conduct research and contribute to the advancement of human-computer interaction (HCI), novel interactive systems, or related
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. We warmly invite applications from academics from human resource management, employment relations and related disciplines. Join our dedicated, collaborative, and collegial team for cutting edge
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Associate Professor, you will lead and foster excellence in teaching, research and engagement in Social Work and Human Services, the School, University, community and professional and industry sectors. More
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Volunteer Human Research Ethics Committee Member (Pastoral Care) - Monash University Job no.: 663744 Department/Unit: Office of Research Ethics and Integrity Classification: Volunteer Location
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Ecological systems are dynamic and complex. Many ecosystems support human food production and in turn are impacted by human food production activity. This creates feedback loops between ecosystems
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excellence, for research translation and for building strong relationships with industry. The successful candidate will contribute to curriculum development in fields of Management or Human Resource Management
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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This scholarship will provide a stipend allowance of $29,000 AUD per annum for up to 3.5 years, plus $4,000 travel allowance. If you are currently in Australia you are strongly encouraged to apply. If successful, you will join Dr. Roberto-Martinez Maldonado , Prof. Dragan Gasevic , and a strong...
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the inability to explain the decisions to human users, becoming a barrier to AI applications in energy systems. This PhD project aims to design and implement Explainable AI-based human-in-the-loop algorithms