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related to stroke, thrombosis, adhesion, and cardiovascular fluid dynamics with some computational modeling. The position requires a doctoral (Ph.D.) degree in a scientific discipline by time of appointment
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 9 hours ago
history-match models against laboratory experiments (e.g., core-flood) and field data to understand and quantify fundamental recovery mechanisms. Conduct sensitivity analyses and optimization studies
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projects will be related to compound flood hazard and risk analyses as well as mitigation and adaptation strategies with applications through modeling and data analyses. Core Responsibilities: Collect and
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, improving faculty pre- and post-award service, strengthening compliance support, generating better research intelligence, and creating a scalable model for responsible AI use in research administration
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analytical and modeling approaches to interpret experimental results. Collaborate with internal and external research teams to define and advance research directions. Present research findings and publish
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that include mid-circuit measurements and feedforward Quantum simulation of many-body and lattice-gauge theory models Microscopic physics of Josephson junctions Other topics of mutual interest About the Yale
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
new immune-epithelial-mesenchymal co-culture models; perturbation approaches to define region-specific transcriptional regulation of epithelial homeostasis; characterization of sputum and mucus
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Position Details Position Information Internal Posting? Posting Number SP005014P Position Title Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins Division
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 2 months ago
networks, and computational modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain
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cellular neuroscience/stem cell lab for disease modeling using patient-derived induced pluripotent stem cells (iPSC). The ideal candidate will have experience in cell culture, rodents, biochemical, molecular