32 finite-element-analysis research jobs at The University of Queensland in Australia
Sort by
Refine Your Search
-
the disciplines such as Urbanism, Architecture, or Urban Design. You will directly report to the Head of School. Key responsibilities will include: Undertake advanced elements of research, in accordance with Urban
-
matter expertise in support of an ARC Research Hub for Engineering Plants to Replace Fossil Carbon project on Genetic analysis of lignocellulosic composition and biomass in sugarcane to maximise biofuel
-
Lucia, with occasional work at Gatton and possible travel to other QLD sites required. Key responsibilities will include: Research: Carry out trait mapping using GWAS analysis and functional genomics
-
. Demonstrated experience with UHV instrumentation, particularly low-temperature STM/AFM. Expertise in STS and analysis of local electronic structure. Experience with STM-based measurements of superconducting
-
Quantitative Genetics, Statistical Genomics, Computational Biology, Plant Breeding, or a related field. Strong expertise in GWAS and post-GWAS analysis (e.g., fine mapping, gene network modelling, GWAS boosting
-
modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
-
reviews, epidemiology, and data analysis to inform global mental health policy and research. Key responsibilities will include: Conduct systematic reviews in psychiatric epidemiology, including data
-
interpretation and strain performance analysis. Automation and Computational Skills: Experience in implementing automation protocols for microbial strain engineering; Working knowledge of statistical analysis
-
to detail. Demonstrated ability to work independently and manage multiple deadlines. Experience working with ethics-approved human research. Familiarity with cost-benefit analysis or impact forecasting
-
on Sub-study 3 - the analysis and evaluation phase. These are casual roles in which the work hours will vary from week to week depending on participant availability and project demands. We anticipate