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peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
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Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
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national level as being influential in expanding the knowledge of your relevant discipline. As the Research Fellow, you are expected to plan, develop and engage in high quality research projects
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
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. The School is one of the largest and most prestigious schools Australia for thriving research programs and contribution to education excellence in Aerospace, Mechanical Engineering, Advanced Manufacturing
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analysis. Demonstrated ability to develop advanced data visualization tools and/or apps Evidence of advanced statistical modelling or data analytics skills, and programming capabilities in one or more
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Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics, to build autonomous systems that can perceive, plan, and respond to their environment in pursuit of high-level
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modelling and statistical computing programs and languages such as Python and R Please refer to the Position Descriptions for other duties, skills and experience required for this position. Welcome
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ability to learn if necessary): One or more scientific programming languages, such as Python (preferred) or R, with a preference for functional style and algorithms experience. One or more deep learning