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motivated, multidisciplinary team working to improve our understanding of transient gravity signals generated by earthquakes and tsunamis (Prompt Elasto-gravity Signals or PEGS), and how to exploit them
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$114,000 to $135,390 Fixed-term, full-time Gardens Point (hybrid option available) Reference number: 25191 Term: Fixed-term, full-time basis for either two years (Level A) or three years (Level B
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on the 'Apply' link below In your cover letter, please: Indicate whether you are applying for the Research Assistant or Research Fellow role Confirm your availability for part-time or full-time work For further
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on the ‘Apply’ link below. In your cover letter, please: Indicate whether you are applying for the Research Assistant or Research Fellow role Confirm your availability for part-time or full-time work For further
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$114,000 to $135,390 Fixed-term, full-time Gardens Point (hybrid option available) Reference number: 25191 Term: Fixed-term, full-time basis for either two years (Level A) or three years (Level B
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of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human
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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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experience difficulties applying online or need reasonable adjustments at any point in the application or interview process, please let us know by contacting jobs@scu.edu.au. Job applicants must be
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loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You
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and to produce high quality outputs. To be successful in this position, you will have: Evidence of substantial experience in point-of-care diagnostics, specifically in the area of developing highly