291 phd-in-architecture-landscape-built-environment Fellowship positions in Australia
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dynamic and inclusive environment that fosters excellence in teaching, research, and industry engagement. Our faculty members are accomplished professionals who have studied, worked and researched in
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in a heterogenous production forestry landscape and how this relates to damage to trees. The project will better understand management practices on population dynamics of wallabies and will also test
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associated with the Sydney Environment Institute. This project focuses on how to include the interests of the environment and other animals (the more-than-human, MtH) in democratic and deliberative decision
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excellence, such as a PhD or first class Honours (or equivalent). Completion of an undergraduate degree (with Honours) within the past eight years (2017 or after), or Masters degree within past
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Australian National University | Canberra, Australian Capital Territory | Australia | about 7 hours ago
. This position is ideal for early-career researchers looking to build academic experience and work closely with senior researchers, educators, and international researchers in a collaborative environment. Academic
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 21 hours ago
researchers, educators, and international researchers in a collaborative environment. Academic Level B – Research Fellow The Research Fellow will take on a broader academic role, conducting independent research
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance learning at scale. Research directions include designing
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cognitive architecture (ETCs). This involves exploring a potential continuum of cognition, from basal organisms to complex animal societies, and extracting general principles, by comparing cases