35 postdoctoral-image-processing-in-computer-science research jobs at University of Adelaide in Australia
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, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
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Job no:517202 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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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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Job no:516893 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level B, Level C, Faculty of Sciences, Engineering and Technology (Level B or C) $114,917 - $161,145 per annum plus
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experts in the field. Our research programs focus on the spectrum of heart rhythm disorders and involve a multidisciplinary team of physicians, bioengineers, research scientists and computational modellers
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Job no:517144 Work type:Fixed term - Full-time Campus:Roseworthy Categories:Animal & Veterinary Sciences, Level A Level A and $81,293 - $102,024 per annum plus an employer contribution of 17
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, this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will
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Job no:517188 Work type:Fixed term - Full-time, Fixed term - Part-time Campus:Adelaide Categories:Faculty of Arts, Business, Law and Economics The Elizabeth Wood Research Fellowship in Musicology