20 fully-funded-phd-program-computer-science Fellowship positions at Curtin University in Australia
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to Curtin's Healthy Lifestyle Program, with up to 2 hours per week of paid time off to engage in University-approved healthy lifestyle activities. Explore Curtin’s wellbeing locations at https://tinyurl.com
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Galactic Science programme at CIRA through scientific and computational expertise. Selection Criteria A PhD in radio astronomy, astrophysics, physics, or computer science. Demonstrated expertise in
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this commitment, the faculty has developed a Diversity Awareness Program with a key focus on the areas of gender equity, diverse sex, sexuality and gender, ethnicity, disability and accessibility, and health and
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/physiological measures (e.g. expired gas energy expenditure and accelerometry), qualitative studies involving focus groups/interviews, or program development/intervention studies. Desirable: Demonstrated skills
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we are looking for (Selection Criteria): Essential: A PhD (or near completion) in geochemistry, geology, data science or a related discipline. Demonstrated knowledge of, or strong interest in critical
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the Global Voices Fellowship program and join youth representatives from around Australia to meet with leaders and experts in policy, economics, gender, and international development. The fellowship includes
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workplace support. To demonstrate this commitment, the faculty has developed a Diversity Awareness Program with a key focus on the areas of gender equity, diverse sex, sexuality and gender, ethnicity
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for up to date information about the scholarship, and to apply. The Frank Knox Memorial Fellowship program provides funding for students from Australia, Canada, New Zealand and the United Kingdom
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collecting and analysing interview and interactional data. This will enable the co-design, testing, and implementing of a new training program to improve how assessments are communicated with clients and
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial