8 bayesian-object-tracking Fellowship positions at Australian National University in Australia
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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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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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. 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
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referees, you can complete these online when prompted in the application form. Two page statement addressing the selection criteria. 1-2 page statement outlining your research objectives for the next 3 years
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X-ray microtomography applied to geomaterials mechanics. A post-doc in a related area would be a plus and we also expect a track record of independent research as evidenced by publications in peer
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in this role, you will have a strong track record of research in computational and theoretical seismology, and experience with seismic waveform processing and numerical modelling on high performance