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, evidence-based assessment and therapy, and adherence to GCP and ethical standards. Collect, manage, and analyse high-quality clinical and research data, including assessment scoring, data entry, reporting
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other electricity industries worldwide. More information is available at www.ceem.unsw.edu.au The Research Associate (Level A) / Senior Research Associate (Level B) will contribute to one or more
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If you are interested in joining the AgriPark Casual Employment Register, please apply online and complete the application form. For further information, please contact jobs@csu.edu.au Advertised: 01 Apr
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teaching within the discipline of Philosophy in the School of Humanities. The research duties include data collection, data analysis, agent based modelling of social epistemic networks, and the writing
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 days ago
social media at Instagram and Facebook For further information please contact, Dr Michelle Barrett, ANU Medical School, E: Michelle.Barrett@anu.edu.au ANU values diversity and inclusion and is committed
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programs, seminars and workshops. The role includes supporting key operational and IT functions such as data management and facility management systems (e.g., PPMS, VDI and acquisition PCs). If you’re
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scientific community. Key responsibilities include, but are not limited to: Laboratory financial oversight and procurement coordination Experiment Setup and Monitoring Data Management and Documentation
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of student data. You will work collaboratively to support the achievement of Federation TAFE’s operational outcomes. You will: provide effective and efficient end-to-end administrative support to Federation
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information about this opportunity, please click here for the complete appointment booklet About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model