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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household
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. To email your CV and cover letter or for more information please contact, A/Prof Paige Little , Research Director, QUT Biomechanics and Spine Research Group. About the scholarship The Clayton Adam Florence
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efficacy at reducing couples relationship distress through several recent meta-analyses (e.g., Yong et al., 2023; Elliott et al., 2021). The therapy was largely built on task analytic micro-theories
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with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
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highly feasible with all infrastructure and resources in place to support the project. Through the project the student will gain a strong understanding of how to use sports code and the GPS analytical