23 computer-science-programming-languages-"the"-"U"-"O.P" positions at University of Adelaide
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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candidate will bring their skill, creativity and experience in developing and delivering education materials for the Speech Pathology Program and will play a pivotal role in teaching and research/scholarship
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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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foundational AI research in Australia, focusing on areas such as natural language processing, computer vision, and machine learning. This role offers the opportunity to carry out cutting-edge research
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English teacher training services to the international and local market. The English language program offerings include packaged pathway, short term programs and post entry Academic English skills offerings
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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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Officer to join the team within CROSSING. This position will sit within CROSSING, a joint international research lab between the CNRS (The French national science agency), IMT-Atlantique (France), Adelaide
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research papers. Program overview The successful candidate will receive: Admission to a PhD program at the University of Adelaide; A University of Adelaide Research Scholarship for 3.75 years, paid
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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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, 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