77 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at The University of Queensland
Sort by
Refine Your Search
-
vary in duration and responsibility and involve skills in public health research methods. Typical tasks may include: Conducting literature reviews and background research Assisting with data analysis and
-
, including ethics and reporting. Assist in data collection, analysis, and the preparation of reports and presentations. Provide administrative, financial, and communication support for project operations
-
to explore how biological information beyond DNA sequence influences crop performance across generations and environments. This is your chance to work with cutting-edge high-throughput DNA methylation
-
information can be found by viewing UQ’s Criteria for Academic Performance . This position will be offered at Academic Level B or C, commensurate with experience. For further detailed information on duties and
-
, sample preparation, and data handling to ensure consistency and high analytical quality. Conduct quality checks on MLA outputs, including mineral maps, particle classifications, and artefact identification
-
. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
-
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 alongside the brightest minds, who have joined us from all
-
for this appointment. Questions? For more information about this opportunity, please contact David Muller at d.muller4@uq.edu.au . For application inquiries, please reach out to the Talent Acquisition team at talent
-
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 alongside the
-
developing advanced, data-driven models and tools to integrate renewable generators securely into Renewable Energy Zones (REZs). Our goal: a reliable, affordable, and resilient decarbonised power system