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School of Public Health Part-time (80%), fixed-term position for up to 12 months Base salary will be in the range $82,057 - $109,246.18 + 17% Superannuation (Academic Level A) Based at our Herston
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instruments skills in qualitative research methods and ability to lead research involving interviews and focus groups demonstrated project management skills and a proven ability to prioritise workload, work
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Sciences (MIPS). This research-only role offers the opportunity to contribute to cutting-edge drug discovery efforts, with a focus on pharmacological, biochemical, and biophysical characterisation of G
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Australian National University | Canberra, Australian Capital Territory | Australia | about 22 hours ago
the field of Organisational Behaviour. Specifically, the focus will be on human-artificial intelligence (AI) collaboration and creativity as part of an ARC Discovery Grant. You will have the opportunity
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Apply now Job no:534086 Work type:Part Time Location:Sydney, NSW Categories:Post Doctoral Research Associate, Senior Research Associate Duration: 3 year Fixed-Term Contract Employment Type: Part
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
) collaboration and creativity as part of an ARC Discovery Grant. You will have the opportunity to engage in research to further your expertise and growing research profile to achieve national recognition
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Job Reference:1041374 Are you a hands-on science enthusiast with a flair for research, lab work, and data analysis? Join a world-class research team driving innovation in resource recovery and
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role in shaping the direction of this two-year research agenda. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a
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Research Fellow in Neuropsychology Job No.: 683024 Location: Epworth Hospital Employment Type: Part-time, fraction (0.4) Duration: 12-month fixed-term appointment Remuneration: Pro-rata of $83,280
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University