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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | about 1 month ago
technologies or IoT being advantageous. A background/knowledge in agriculture relevant to project focus will be desirable. Familiarity with digital twin modelling, remote sensing, and cloud computing is valued
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with digital twin modelling, remote sensing, and cloud computing is valued, as is a commitment to learning and advancing in these areas. The successful candidate will have the ability to work with large
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the Stroke Foundation. Applicants from a range of disciplines or fields will be considered, and if you're curious about whether your background might be a fit for this project, feel free to contact us. Full or
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candidate to join an exciting industry-supported project with Codan, a global leader in communications and sensing technologies. This project will explore novel microwave sensor (uWS) designs that can be
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. community housing) and/or ownership models. Exploring the impacts of prepayment meters in remote communities and identifying alternatives Investigating the health-related impacts of energy insecurity, through
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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living with DFD in cities get this care and this drops to <20% for those living in remote areas. This PhD project will be part of or augment a larger NHMRC Partnership Grant project ('The QFeet Study
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Challenges: What are the issues with installing rooftop solar on First Nations housing (like funding, approvals, and maintenance)? How can we help communities feel ownership of these projects? Training and
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fundamental philosophical questions: In what sense (if at all) is being human morally significant? What explains that significance? What follows, socially and politically, from that significance? The project is
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independently and collaboratively Excellent written and verbal communication skills Desirable Experience with modelling tools (e.g., MATSim, UrbanSim, ActivitySim, GIS, or Statistics) Experience in stakeholder