171 computer-science-programming-languages-"U"-"FCiências" positions at University of Adelaide in Australia
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Job no:517305 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
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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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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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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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-leading research and teaching. Why Join Us? The University is the third-oldest university and a member of the prestigious Group of Eight (Go8). Our Engineering program is ranked 46th in the world in
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-Australian semester exchange program. To be eligible to apply for this scholarship you must: Be Australian citizens, Australian Permanent residents, New Zealand citizens, or holders of a permanent humanitarian
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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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software used to test and evaluate telescope performance during commissioning. The position will also require a strong commitment to developing an innovative research program in high-energy gamma-ray
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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