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a background in a relevant humanities and social science discipline, such as communication and media studies, internet studies, computer science, generative AI, or critical technology studies have
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a background in a relevant humanities and social science discipline, such as communication and media studies, internet studies, computer science, generative AI, or critical technology studies have
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have an interest to learn both quantitative and qualitative research methods and we expect you to have at least some experience of computational research methods, such as collecting and analysing data
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July 2025 have a master’s degree in data science, computer science, operational research, transport engineering, or related discipline have a strong background in data science, machine learning
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Project, a range of skills and experience will be considered including: a background in health, data science, law, gerontology, occupational therapy, or psychology strong quantitative and qualitative skills
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computer interaction and an honours degree or equivalent. How to apply Application closing dates vary: international applications close 31 July 2024 domestic applications close 31 August 2024. Apply
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2025. You should have a background and strong interest in environmental management, biodiversity conservation, and/or sustainability. Experience in the social sciences and/or economics would also be
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complete any other CSIRO requirements. Ideally, the applicant will have: a bachelor’s degree in chemistry, chemical engineering, material science or engineering or relevant fields. Preference will be given
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applications in engineering areas. additional background or experience in machine learning, data analytics, and other computer science areas would be an advantage experience in power system simulation software
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
undergraduate degree or equivalent, in applied mathematics, engineering, or a related discipline have experience writing numerical software in a relevant language (e.g., MATLAB, Julia, Python or C) and modelling