13 master-in-health-informatics Fellowship research jobs at University of Adelaide in Australia
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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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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a
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PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including publications
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. Quantitative researcher with experience in primary care. The Discipline of General Practice supports teaching, research, clinical practice and the development of better prevention and public health policies
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of Computer Science and Information Technology of the foundation universities will join in a new School of Computer Science and Information Technology. The joint team’s research strengths include artificial
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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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Job no:517368 Work type:Fixed term - Full-time Campus:Adelaide Categories:Faculty of Health & Medical Sciences, Level A, Level B (Level A/B) $102,024 to $135,932 per annum plus an employer
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; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your faculty's broader role
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packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your
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on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your division's broader role The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of