291 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Sydney
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) who has: a PhD, or nearly completion, in interaction design, human-computer interaction or cognate field, or equivalent professional experience in emerging technologies sound experience of teaching and
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initiatives within the CRE in Human Factors and AI-enabled Clinical Decision Support · coordinate the collation, analysis and preparation of CRE data, documentation and research materials, ensuring all
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biology and advanced quantitative data analysis. The role will involve the design and management of research databases, analysis of large and complex clinical and molecular datasets, coordination with
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of Aboriginal and Torres Strait Islander descent, are encouraged. How to apply Intending applicants are welcome to seek further information about the position and for recruitment-related enquiries, or if you
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, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and instructions, please visit:NSW Health employment requirements EEO
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employment. Other As this position is located on a NSW Health site, it is a regulatory requirement to complete compulsory employment checks prior to starting in this position. For more information and
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young (18 to 24 years) Aboriginal and Torres Strait Islander people who are in custody. The Research Associate would help coordinate and undertake data collection, data interpretation and development
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relevant field or an equivalent combination of relevant training and experience experience with learning management systems and education administration ability to communicate effectively and strong computer
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engagements that advance the University’s priorities. You will also play a vital role in monitoring policy directions, identifying risks and opportunities, and translating complex information into clear
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activities assist with planning and coordinating assessment and exam operations to support positive outcomes for students and academics contribute to accurate data management, results processing, and record