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in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
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: Claudia Szabo Associate Professor, School of Computer and Mathematical Sciences P: +61 (8) 831 36744 E: claudia.szabo@adelaide.edu.au You'll find a full position description or selection criteria below
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
record of optical design, simulation and characterisation, as well as good knowledge of broader solar cell production and characterisation processes. The successful candidate will work on an established
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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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, simulation and characterisation, as well as good knowledge of broader solar cell production and characterisation processes. The successful candidate will work on an established project funded by the Australian
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PRIMARY DETAIL • Salary package: $106,089 (Level A.6 - PhD) to $113,697 p.a., plus 17% employer’s superannuation and annual leave loading. • Appointment Type: Full-time, fixed Term for two years
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confirmation) The Opportunity This is an opportunity for a talented PhD candidate with strong skills in developing prototype systems for Extended Reality (XR - which encompasses augmented and virtual reality
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Cutting-edge research including innovative imaging, nanotechnology, mRNA therapy Competitive salary offered commensurate with candidate’s qualifications and experience + superannuation + generous
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, biomedical, chemical, environmental and geoscience disciplines. How to apply: To be considered for this position, applicants must address the selection criteria below and attach your CV (including a list of
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enthusiastic individual to join our dynamic team and contribute their unique skills. The Plant Accelerator® has a range of automated phenotyping systems collecting water use data and images over time, as