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meaningful, applied outcomes for Australian grain production. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, develop an emerging research profile
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Part time (0.60 FTE) fixed term until 31 December 2028 Postdoctoral Research Fellow Role supporting the NHMRC-funded program “Optimising Care for Older Adults in Hospital: Innovative Education
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and has no direct reports. Some key skills required: PhD degree in a relevant discipline (e.g. health economics, public health, biostatistics) with substantial relevant experience in design or
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for future translation into real world impact. To be successful, you’ll have: PhD in a relevant discipline and/or other relevant qualifications and experience in the applied education research, with a strong
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doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as virology, molecular biology, vaccine development or a closely related discipline. Please note: to be
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: Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Discounts and entitlements Affordable on-campus parking Who you are You have a PhD in a discipline
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
: PD & PEWER Level B Research Fellow_SOE.pdf Work with world-leading researchers in robotics, computer vision, and systems and control Contribute to impactful research on cutting-edge event-based sensing
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HDR and honours students and fostering a culture of research excellence. To be successful, you’ll have: PhD (or equivalent) in a relevant discipline, with an emerging research profile demonstrated
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Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative