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and delivery in Psychological Sciences Support staff & students to ensure culturally safe learning at the University Contribute to research excellence, community partnerships & student success
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experience in machine and/or deep learning applied to geospatial data. Demonstrated experience in the use of HPC and handling of very large datasets. Experience in software development and contribution
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Intelligence, Machine Learning, Quantum Technologies, Energy Informatics, and Immersive Technologies. Our teaching programs are delivered across Curtin’s five global campuses. Curtin is home to state-of-the-art
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in conducting human behavioural experiments or human-centered field studies. Demonstrated experience in using machine learning, such as deep learning for image processing, or natural
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scoping to delivery, while working on high-impact UNSW initiatives in research, commercialisation, and short-course development. This rare university-based role doesn’t require a PhD but calls for deep
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technologies, social structures, and networks. Effective C2 organisational systems are critical not only to military settings, but also to the operation of many civil domains, including emergency response
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mechanical loading of such samples. The focus of the PhD project will be to use machine learning techniques to better understand the interplay between the crystal orientations and deformation patterns in a
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain
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applicant will have the option for full-time or part-time work. What’s Required A PhD (Level E) or equivalent (Level D) in Midwifery or an equivalent field. A strong clinical background with a track record in
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chemistry, medicinal chemistry, statistical genetics, bioinformatics, data science, machine learning/artificial intelligence methodologies, and bacteriology, but will consider applications relevant to all our