60 data "https:" "https:" "https:" "https:" "U.S" 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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in human induced pluripotent stem cells (hiPSCs)-derived skin organoids (https://pubmed.ncbi.nlm.nih.gov/38044307/ ), and the generation of vascularized skin organoids (https
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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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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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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
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committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering