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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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integrative data synthesis and advanced analytics to accelerate the development and implementation of evidence-based strategies that prevent and manage chronic illness and improve health outcomes across
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diagnostics through to large‑scale public health programs. The position combines advanced analytical work with research leadership, collaboration across disciplines, and contribution to competitive funding
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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You Completion (or near completion) of a PhD in a relevant discipline (Demography, Geography, Economics
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involving extensive use of GC/MS analytical equipment for bioanalytical mass spectrometry, including advanced small molecule analysis, data interpretation, and assay development. You can demonstrate strong
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promotions process. About You Completion or near completion of a PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or a closely related
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as one PDF) 2. 2027 MQLF CV and Research Opportunity and Performance Evidence Form 3. Evidence of PhD conferral (if awarded) or submission date For general information about the Fellowship opportunity
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to perform in-depth and critical data analyses and, where relevant, data modelling. Ideal candidates will possess: Completion or near completion of a PhD in environmental chemistry, analytical chemistry
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will hold demonstrated experience in epidemiological methodologies and data analytics. Your skills will include critical appraisal of epidemiological evidence, and statistical analysis to evaluate large
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and the highest in Australia. For further information on our school, go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering Skills & Experience PhD in