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Field
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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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on the topic of materials, and numerical modeling. Research will be conducted on infrastructure materials and urban heat modeling. The successful candidate will contribute to an ongoing effort on
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suite of 3D numerical simulations of the thermochemical evolution of Mercury that integrate a new melting model with realistic assumptions regarding the mantle rheology. The models will be constrained
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, manufacturing engineering, engineering design and thermal energy systems. The Section for Manufacturing Engineering performs theoretical, numerical, and experimental research in the field of manufacturing
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, EBSD and TEM Mechanical testing, such as tensile and fatigue tests Numerical modelling, such as crystal plasticity finite element modelling Physical Metallurgy, especially on steels Excellent English
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secondary bile acids have multiple signalling roles in the host and have been implicated in numerous disease states, including inflammatory bowel disease. Inflammatory bowel disease (Crohn’s disease and
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), quantitative sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international
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different numerical tools via Python scripting Experience conducting machine learning and inverse design models HPC experience Experience training and supervising students High proficiency in writing skills