22 software-formal-method-phd positions at Australian National University in Australia
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, platforms, skills and collections of high-quality data. Position overview The Software Developer is part of a small software development team based in Canberra who is responsible for the development, delivery
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Australian National University | Canberra, Australian Capital Territory | Australia | about 21 hours ago
Classification: ANU Officer 6/7 (Specialist) Salary package: $95,987- $110,489 per annum plus 17% superannuation Terms: Full-time, Continuing Position Overview We are seeking a Research Software
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Software Engineer will operate in the HDRH’s core RSE team based in Canberra, reporting to the Director and collaborating closely with the SSRIN team. The RSE will be expected to work collegially, leading by example
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The ideal candidate for the Research Fellow or Fellow position will hold a PhD in epidemiology, biostatistics, data science, medicine, public health, or a related population health discipline, with
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own
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independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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to contribute to a broader portfolio of research and outreach projects on decarbonisation, including of heavy industry in Australia, working collaboratively with other researchers. Methods are broadly in
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Australian National University | Canberra, Australian Capital Territory | Australia | about 20 hours ago
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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literature reviews, data analysis, report writing and other project management and administrative services. Applicants with backgrounds in quantitative, qualitative and mixed methods research are all welcomed