18 computer-science-programming-languages-"the"-"U.S"-"CERN"-"UCL"-"Humboldt-Stiftung-Foundation" positions at University of Adelaide in Australia
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within a world-class team working at the intersection of computer vision and natural language processing. The appointed candidate/s will be working directly with CAR Director and Chief Scientist of AIML
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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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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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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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applies. Fulltime, continuing position, located centrally in the heart of the vibrant CBD (Grenfell Street). An exclusive role has opened up in the capacity of Education Program Manager within our
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methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in areas
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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Office skills. Skills in data manipulation tools and/or programming languages such as Cognos, Power BI/Power Query, PySpark, SQL and R Desirable: Experience with data integration and ETL tools such as
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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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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer science