11 scientific-programming Fellowship positions at University of Adelaide in Australia
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including publications
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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activities and interacting with a broad array of stakeholders in science and industry. The School of Agriculture, Food & Wine is one of several Schools in the Faculty of SET, and represents a world-class
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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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University of Science and Technology. They will be based at the University’s School of Biological Sciences and Environment Institute, providing strong opportunities to interact with academic staff, government
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meaningful contributions to sustainable agriculture. The School of Agriculture, Food and Wine is one of eight Schools in the Faculty of SET, and represents a world-class concentration of scientific research
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inclusive SET Faculty, the role supports interdisciplinary collaboration and career development in a cutting-edge scientific environment. The role requires a strong foundation in theoretical quantum materials