17 computer-science-programming-languages-"the"-"U"-"U.S"-"Prof" positions at University of Adelaide in Australia
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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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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that theory into functional applications. To be successful you will need: Knowledge of commercial programming language and environment (i.e. Java, .NET, C++) Competence in a data science programming language
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Value The HDA and PHSA PhD Excellence Award are $7,500 per annum for up to 3 years only to augment an Australian Government Research Training Program (RTP) Stipend Scholarship or equivalent
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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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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 processing
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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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cover letter which outlines your: Eligibility for the program Demonstrated interest and experience in analytical chemistry, particularly GC-MS analysis of trace analytes and field sampling techniques
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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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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