11 phd-data-analytics Fellowship research jobs at The University of Queensland in Australia
Sort by
Refine Your Search
-
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
-
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
-
Australian agriculture: Analytics for the Australian Grains Industry (AAGI) and the Australian Plant Phenomics Network (APPN). Hosted by UQ’s School of Agriculture and Food Sustainability in collaboration with
-
uphold university values. These are research focused positions. Further information can be found by viewing UQ’s Criteria for Academic Performance . For further information or to request a full position
-
, compliance, and contribution to a collaborative and inclusive research culture aligned with UQ values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
-
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
-
Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
-
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
-
experimental and analytical plant research, including field trials, phenotypic and anatomical analyses, NIR method development, genetic and genomic studies, publication and presentation of findings, funding
-
, metabolite assays, bioprocess analytics (e.g. HPLC data) Knowledge in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books. Familiarity with the Python programming