53 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"DESY" 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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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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-controlled analytical methods, and conduct targeted, suspect, and non-target analyses. This includes performing MS/MS experiments, interpreting high-resolution mass spectrometric data, and undertaking
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intervention to improve movement and physical activity in older adults, people with Parkinson’s disease and stroke. In this role, you will oversee participant recruitment, and data collection and analysis
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through collaborative participation, supporting team operations and contributing to internal service roles. These are research focused positions. Further information can be found by viewing UQ’s Criteria
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spectrometry, hyperspectral and multispectral calibration, and field data acquisition to improve agricultural monitoring from field trials to national predictions of yield, disease, and quality traits. You will
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to end users, including commercialisation of UQ intellectual property. Apply and promote best‑practice research methodologies. This is a research focused position. Further information can be found by
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development 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 opportunity to work
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, events, stakeholder engagement, and compliance with university policies. Research & Knowledge Translation Support: Support study design, data collection and analysis (qualitative and quantitative
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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