57 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at University of Adelaide
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HEO5 $82,922 - $92,203 per annum plus an employer contribution of 17% superannuation applies. Fixed term full-time position for 18 months. The Biomedical Engineer will play a key role in developing
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and data environment. Qualifications: Degree in a relevant field (e.g. information technology, software development, computer systems engineering) with at least 4 years with relevant work-related
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Job no:517448 Work type:Fixed term - Full-time Campus:Adelaide Categories:Information and Communications Technology, HEO7, Faculty of Sciences, Engineering and Technology (HEO7) $101,785 - $113,839
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among higher degree by research students, and to promote knowledge transfer between academia
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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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with 1414 Degrees’ silicon based thermal energy storage technology, SiBrick®, to enable continuous hydrogen production from intermittent renewable electricity. The PhD student(s) will join the project
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PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
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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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Criteria: A PhD in applied mathematics, engineering, computer science, data science, physics, or a related area. Strong academic track record (including peer-reviewed publications and conference
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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