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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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“Geosystems ”), we are looking for a: Reference Number 10408 In tectonically active coastal areas, earthquake faults located offshore can trigger tsunamis in addition to the shaking risk. Their exact location
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learn advanced instrumentation, 3D data analysis, and AI methods in close collaboration with engineers and physicists. We work closely with lab members to develop the skills, confidence, and creativity
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Geodesy), we are looking for a: Reference Number 10460 The near-Earth space environment is hazardous and poses a significant risk for satellites and humans in space. Currently, there are hundreds
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. Outsourcing computation to cloud providers can be economically efficient while at the same time generating new systemic risks and dependencies that governments try to manage. GEOCLOUD is concerned with mapping
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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on large-scale genetic data analysis, risk prediction, single-cell RNAseq, and implementation of methods for studying complex human diseases, such as glaucoma and retinal diseases. The candidate will have
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conduct research projects that address issues related to water quality, water and wastewater management with a specific focus on risk assessment. As a part of IWH team, the successful candidate will have
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beyond. Potential/Sample Projects Integrating heat and wildfire risk models. Developing risk assessment tools for cultural heritage resources. Creating predictive models for compound hazards. Building
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of national standards for climate risk and adaptation metrics. Key Responsibilities Lead and assist with climate and health studies. Conduct gap analyses within the health sectors to identify measurement needs