18 programming-language-"Aarhus-University" Fellowship positions at University of Adelaide
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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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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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publications and plans for future research Demonstrated ability to conduct research independently and contribute to the preparation of competitive grant applications. Excellent written and oral communication
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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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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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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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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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holds Bachelors’ degrees in English literature (with Honours) (1961), and musicology (with Honours) (1970) from The University of Adelaide, and a PhD from the same university (1979). Her work includes the
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or supervise students Proven ability to develop course material with appropriate guidance from the program coordinator Experience in performing administrative functions primarily connected with the area of