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the “Skills & Experience” section of the PD) by 11:30pm on the 10th of June 2025. A copy of the Position Description can be on JOBS@UNSW . Role distribution: Division of Education & Student Experience : Fixed
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, robotics, cybersecurity, modelling, and analytics. As part of the Distributed Sensing Systems research group, you will develop and deploy low-power embedded sensing technology for natural and built
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distributions. We wish to represent the biological networks into proper formats, e.g., vector representations, so that existing machine learning algorithms (e.g., support vector machines) can readily be used
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are not limited to: Design and conduct innovative learning activities (online, distributed, or face-to-face) to enhance student engagement and achievement, tailoring support based on individual learning
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the different actors' beliefs and intentions. We will study the properties of such explanations, present algorithms for automatically computing them as well as extensions to existing frameworks and evaluate
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domain experts’ beliefs about the relationships among variables that can be used to describe them. The BN structure, the probability distributions and parameters it is built from, can be derived from data
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semester examinations, examination scheduling and supervision thereof. Assist with the tutorial sign on process. Assist with generating and formatting class lists for distribution to tutors. Process
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implementing identity and access management solutions using Azure AD, MFA, SSO and conditional Access policies. Experience with orchestration templates and distributed systems. Strategic thinking and familiarity
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Optimisation methods, such as mixed integer linear programming, have been very successful at decision-making for more than 50 years. Optimisation algorithms support basically every industry behind
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applications and standard operating procedures, and distributing relevant documentation to AEC members via the Forms for Research Applications (FoRA) system. Manage animal ethics monitoring systems, including