378 computer-security "https:" "https:" "https:" "https:" "University of Plymouth" research jobs in Australia
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Clinical Trial Research Assistant - Neurology to manage the research funded by MRFF led by Clinical Professor Todd Hardy , who leads an exciting program of novel research. In this role, you will play a key
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School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 2 years Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic
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degree, as well as a postgraduate PhD research program for over 50 students. 33 academic staff conduct theoretical and experimental research in quantum physics, astrophysics, fundamental physics; and
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opportunity for a Research Fellow (Level B) or Senior Research Fellow (Level C) to join the First Nations Cancer and Wellbeing Research (FNCWR) Program, led by Professor Gail Garvey within the School of Public
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computer systems and applications, including REDCap, NVIVO, and Excel demonstrated superior interpersonal communication skills, including with people with lived experience of neurodisability, to initiate and
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of confidentiality when dealing with sensitive client information and adhering to relevant ethical/legal guidelines around privacy, confidentiality, and information security. Respond to routine
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. Maintain a high level of confidentiality when dealing with sensitive client information and adhering to relevant ethical/legal guidelines around privacy, confidentiality, and information security. Respond
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Geopolitical Security. The Research and Enterprise Portfolio is key to the delivery of our strategic vision, ensuring Monash delivers meaningful outcomes to the communities we serve, and remains at the forefront
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- Psychology role sits within the School of Psychology and will contribute to a major global research program examining the discreteness bias - the belief that social categories are rigid, discrete and immutable
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper