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, Computational Biology, Conservation Biology, Ecology, Evolutionary Biology, Marine Biology, Neuroscience, Plant Biology and Science Communication. Many of our team are also active members of the UWA Oceans
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Areas covered include wireless communications; intelligent monitoring and surveillance for natural and industrial environments; intelligent embedded systems; decision making and machine learning; wireless sensor networks; green communications; next generation wireless broadband networks; signal...
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Goal Recognition is the task of inferring the goal of an agent from their action logs. Goal Recognition assumes these logs are collected by an independent process that is not controlled by the observer. Active Goal Recognition extends Goal Recognition by also assigning the data collection task...
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The Organisational Change Manager (OCM) sits within the OCM Practice in Portfolio & Planning. The role partners with other Change Managers within the Student Experience Tapestry program and works with Program
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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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Apply now Job no:538664 Work type:Full Time Location:Sydney, NSW Categories:Management The Opportunity The School of Computer Science and Engineering, in the Faculty of Engineering, is seeking a
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principles must the task choice be based for this to work? These questions are central to explaining the organisation of natural societies, from insects to humans, and to engineering self-organised systems
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proficiency in computer software packages including word processing, spreadsheets, databases, electronic mail, and the use of the internet as a research tool. Excellent communication and interpersonal skills
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to predict and hard to prevent. This research project aims to address this difficult problem using an artificial intelligence technique called machine learning, in which computers 'learn' from data and
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated