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desirable and will be used in the ranking of the candidates: Experience with reactor simulations in for example OpenMC or system codes, like RE-LAP Experience with data analysis techniques Experience using ML
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Remuneration: $118,974 - $141,283 p.a. Level B plus 17% employer superannuation Develop data management protocols for data analysis Analyse high-frequency neuro data from ICU trials Drive innovation in
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supervision in dealing with data uncertainties. He/she will be responsible for Modelling propagation of earthquake motion from source to site Perform probabilistic seismic hazard analysis (PSHA) Perform
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, and construction progress analysis. Key Responsibilities: Conduct research in computer vision, machine learning, large language models, AI agents, and 3D reconstruction for infrastructure digitalization
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collection and field research activities in order to obtain reliable data from public IP databases, archives, and interviews. Carry out analysis, critical evaluation, and interpretation using methodologies and
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modelling and data analysis in line with the principles of reproducible research. Provide usable outputs to NSW DCCEW as well as advice for operationalising methods. Align with and actively demonstrate
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. Further information can be found by viewing UQ’s Criteria for Academic Performance . About You To be successful in this opportunity, you will bring: Completion of a PhD in a relevant discipline such as
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
, biomedical engineering, computer science, epidemiology, or a related quantitative discipline. Demonstrated experience with large-scale human genetic data analysis (GWAS pipelines, QC, mixed models, population
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control, and performance optimization. Proficiency in data analysis and problem-solving, with the ability to evaluate device performance using analytical and visualization tools. Ability to work in
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related discipline. · Demonstrated expertise in next-generation sequencing technologies, including long-read, short-read, and single-cell sequencing data generation and analysis. · Extensive