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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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to share knowledge, skills, ideas and provide mentoring and peer coaching opportunities, that provide lifelong beneficial partnerships. To learn more about philanthropy at UQ visit https://alumni.uq.edu.au
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
skills in at least one of the following languages: Python, C, C++, MATLAB, HDL, and proficiency using tools and software such as Altium, Vivado, VHDL, and microcontroller environments. The Area The
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agreements with the TERN Office. A key strategic objective is to sustain TERN into the longer term. Information about TERN Australia is available at http://www.tern.org.au . Join a community where excellence
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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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. To find out more about RMIT Vietnam and our current vacancies, please visit our website: https://www.rmit.edu.vn/careers ABOUT THE SCHOOL OF SCIENCE, ENGINEERING AND TECHNOLOGY (SSET) For further
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, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth
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impact. Expertise in translating educational questions into data models, dashboards, and practical insights using tools such as Power BI, Python, SQL, or R. Deep understanding of pedagogy, curriculum
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networks or deep learning approaches is highly relevant to this role.) Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high
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, implementation, and statistical analysis. Strong skills in econometric and statistical software (e.g., Stata, R, Python). Knowledge of retirement income systems, asset drawdown behaviour, and housing wealth