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platform for conducting impactful economic research. To be successful you will need: PhD in applied economics, forensic accounting, ecological economics, criminology or a related discipline. Demonstrated
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software packages while collaborating effectively in a multidisciplinary research environment. You may also: Hold a Masters or PhD in Computer Science, Bioinformatics, Computational Statistics, or a
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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
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
evaluated on physical robots. The ideal candidate would have: A PhD (or close to finishing a PhD) in Robotics / Computer Science / related area Proven ability to conduct high quality research, evidenced by
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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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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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on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the social sciences. Experience
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Launch your career at Australia’s leading scientific research organisation! Exciting opportunity for an early career researcher with a PhD in Mathematics, Data Science, or Computer Science Join the
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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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and social determinants influencing sexual health outcomes. You will oversee both qualitative and quantitative data collection, ensuring cultural safety and community governance, while driving knowledge