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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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Fellow will have the opportunity to lead statistical analyses of large-scale clinical registry and administrative datasets. Some key skills required: A PhD in health data science, and/or relevant work
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by peer-reviewed publications in good venues for Robotics/AI/ML area
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Fellow positions are available in the School of Law, Queensland University of Technology (QUT) in Brisbane to carry out research and support research projects spanning QUT's Centre for Decent Work and
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
collaborate with First Peoples that partner with the Water Justice Hub. Ideal candidate Our ideal candidate will hold a PhD in economics, with a demonstrated record of independent research and relevant
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School of Health and Rehabilitation Sciences / Metro North Health Full-time, fixed-term position for 3 years Base salary will range from $137,542 - $181,934 (Academic Level C or D) + 17
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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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that unveil the unseen. analyse complex data to uncover insights and pioneer new strategies for molecular sensing and imaging. We’re looking for someone who brings: A PhD in chemical biology, organic chemistry
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to the effective supervision of Honours and Higher Degree by Research (e.g., PhD, Masters) students (as appropriate). Demonstrate personal effectiveness in supervision and the management of researcher development