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and clay minerals Multi-scale characterization of cementitious materials using e.g., SEM, TEM, XRD, X-ray CT, NMR, rheology, and multiscale mechanical testing. Thermodynamic modelling. Life cycle
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
models. - Experience in integrating multi-omics data from tumors and preclinical models. - Familiarity with training or fine-tuning large-scale models (e.g., LLMs, foundation models, etc.). Special
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) to conduct cutting-edge, multi-omic and translational research in the field of inflammatory skin diseases. The successful candidate (m/f/div) will join our research group investigating fundamental biological
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- $80,034 based on experience. See Table [https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-oct-2025-scales/t23.pdf ] for the salary range for this position. Application Window Open
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duties for this position include: Enhance Soil and Water Assessment Tool - Carbon (SWAT-C) to better represent the coupled terrestrial-aquatic carbon cycling at the watershed scale Develop cropland tillage
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operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes: transport properties and selectivity. Monitor and analyze system performance: current
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
. The Research Atmospheric clouds and aerosols are major sources of uncertainty in weather and climate prediction due to their complex, multi-scale nature — from nanometers to hundreds of kilometers. Turbulence
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
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physics (e.g., Turing patterns). This will involve: (i) developing new analytical/theoretical tools for the study of reaction-diffusion systems, (ii) performing large scale, machine-learning-assisted
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and applied research supported by competitively won national and international funding, and commercial contracts with government agencies and industry. MaREI’s strengths lie in the multi-disciplinary