7 bayesian-object-tracking Fellowship research jobs at Australian National University in Australia
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
to: Conduct cutting edge research in machine learning, AI and algorithms, such as but not limited to Bayesian machine learning, human-centered AI and interpretable machine learning, attention markets, gig
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modelling RNA isoform diversity or RNA–protein interactions. A track record of independent research, evidenced by publications in peer-reviewed journals and/or presentations at scientific conferences
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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
and have an established track record of independent research, including publications, collaborations, and recognition through awards or conference invitations. They will demonstrate strong skills in
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to research as part of our academic team. Ideal Candidate The ideal candidate will hold a PhD in a field relevant to Investing in Women’s priorities and have a strong track record of independent research
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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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supervision. A 1-2 page statement outlining your research objectives in Complexity Leadership for the next 2 years if appointed Other documents, if required. Please note: The successful candidate must have
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cell biology, molecular biology, immunology, CRISPR-Cas9 technology and working with pre-clinical cancer models. You will have a proven track record of research achievement and the ability to articulate