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study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in stakeholder engagements and respond to evolving technical needs Job Requirements: A strong
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will be experimentally tested, with an analysis of the resulting fatigue life and crack trajectory. The tests will be monitored using a Digital Image Correlation (DIC) system, enabling the determination
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anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve
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or video analysis. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413381/research-fellow-eng… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical
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, stereo matching, point-cloud reconstruction and quantitative performance evaluation Perform simulations, experiments, data acquisition and statistical analysis Prepare research manuscripts, technical
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: Biochemistry Microbiome ecology Metabolic modelling Python and/or R Microbiome bioinformatics Longitudinal or temporal data analysis Microbial ecology and community dynamics This profile would suit someone with
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, including carbon accounting and management, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Support life cycle analysis (LCA), environmental impact assessments
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mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining
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chickens’ Campylobacter susceptibility. The postdoc will have a leading role in the large-scale multi-omics (“hologenomic”) data analysis to integrate/synthesize the genomic, transcriptomic, metagenomic, and