59 linked-data-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" Fellowship positions at The University of Queensland
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Data Science Collaborative Research Platform Full-time, fixed-term position for 18 months Base salary will be in the range $114,824 - $136,048 + 17% Superannuation (Academic Level B) Based at our
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establish a distinctive research profile, with a particular focus on Green Energy Investment and Trade in Asia. The role will suit a candidate with strong data analytical capabilities, demonstrated knowledge
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. Coordinate industry or academic engagement activities linked to the UQ Cyber–IDCARE partnership. Lead and contribute to government policy consultations and engagement with relevant agencies. Support increased
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. For further information, please view the full appointment booklet . If you are unable to access this link, please email talent@uq.edu.au for a copy of the booklet. Questions? For more information about this
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anatomy and lignocellulosic composition, develop high-throughput screening methods, and identify genomic regions linked to key traits. Your work will directly contribute to breeding resilient, high-value
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, sequencing), micropatterning, CRISPR-Cas9 gene editing. Experience in generating multispectral cell lines expressing lentiviral generated plasmids (lentiviral packaging, FACS). Perform analysis of imaging data
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of chronic diseases using wastewater-based epidemiology. This will involve integrating evidence from systematic reviews, epidemiological studies, and wastewater-derived data to build comprehensive, predictive
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meaningful global impact. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information, please click here to view
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government partners. This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About UQ As part of the UQ community, you will have the
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research