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Field
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context; (g) analysis of large amounts of quantitative data, data merging, data management (“big data”) A strong publication track-record and experience with publishing in international top journals
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
. The Person The ideal candidate will hold a PhD (or complete within six months of appointment) in Biology, Chemistry, Physics, or a related discipline, and demonstrate a strong track record of independent
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. This role represents a unique opportunity to generate biological insights from our large-scale research datasets including single-cell multiomic sequencing data from skin and blood to enable
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the SG100K team to shortlist participants for recruitment Run focus groups to get user feedback on procedures and concerns Check data flows, analyze the data to inform future large-scale implementation Write
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computing technologies in medical contexts. This could include issues such as equity/discrimination, data ownership, unexpected implications of the AI Act for mental healthcare, and other issues of relevance
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developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific research tasks will include
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collaborators. The post is currently available for a start date as soon as possible from 1st July 2025, but later start dates can be negotiated. You will have a PhD in Astrophysics, Applied Mathematics, or a
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International Baccalaureate (IB) diploma Applicants with a completed master's degrees taught in English in a EU/EEA country Applicants who are exempt based on HK-dir's GSU list We offer a PhD education in a large
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testing, real-world research, and contributing to Australia's defence capabilities, we'd love to hear from you. About the Role You'll be part of a research team focused on large-scale structural testing
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about experimental testing, real-world research, and contributing to Australia’s defence capabilities, we’d love to hear from you. About the Role You’ll be part of a research team focused on large-scale