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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
The ideal candidate will hold a PhD (or be near completion) in physics or a related field, with demonstrated research expertise in experimental nuclear physics. They will have a strong record of publications
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to core facilities at the Faculty of Health Sciences, providing state-of-the-art technology and hands-on expertise in bioimaging, FACS, proteomics/metabolomics, genomics and animal experimentation
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of Informatics as a member of the MishMash Centre for AI and Creativity. Starting date no later than February 2, 2027. The fellowship period is three years. Depending on the candidate and the teaching needs
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-impact research, capacity building, and technology transfer. The center brings together a multidisciplinary team of researchers, engineers, and students working on addressing environmental challenges
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) is also associated with the Oskar Klein Centre (OKC) for cosmoparticle physics, in collaboration with the Department of Physics at SU and the Royal Institute of Technology (KTH), all situated in
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English English Are you interested in comparative political behaviour with a focus on gender gaps in political-democratic orientations? PhD Research Fellowship in Political Science (3-4 years) Apply
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Research Fellow - Data Science Job No.: 695546 Location: 553 St Kilda Road Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $123,138 - $146,228 pa Level B (plus 17
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concentrations of health sciences companies in the nation, which contribute over $44 billion annually to the local economy. Our dynamic downtown is a bustling commercial center, entertainment destination and
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nanobodies and engineered variants, endothelial barrier and calcium signaling assays, and multiomic phenotyping of post-injury states. Candidates should hold a PhD in biochemistry, molecular biology, cell
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or