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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
operates—has a long-standing reputation for outstanding research expertise and global policy impact, hosting the largest collection of expertise on the Asia Pacific in the English-speaking world. For over 70
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
policy impact, hosting the largest collection of expertise on the Asia Pacific in the English-speaking world. For over 70 years, ANU Sinologists have pioneered new fields in China studies and led the world
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programs, ensuring a rigorous foundation in quantitative disciplines while maintaining strong industry and research partnerships. About The Research Fellow Opportunity This is an exciting opportunity for a
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biology and biochemistry. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic, and the ability to work well independently, and
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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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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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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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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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