145 programming-language-"St"-"UNIVERSITÄT-DUISBURG-ESSEN"-"FEMTO-ST"-"St" positions at University of Adelaide
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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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                Job no:517251 Work type:Fixed term - Part-time Campus:Adelaide Categories:HEO7, English Language Centre HEO7) $101,785 - $113,839 per annum plus an employer contribution of 17% superannuation 
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                experience in machine learning research and development, particularly with a specialisation in such areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language 
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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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                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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                management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in 
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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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                knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed 
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                into student engagement trends, you will help shape strategies for marketing, program promotion, and the recruitment of diverse student cohorts. Working under the guidance of the Lead, Domestic Undergraduate 
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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