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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
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https://www.nist.gov/programs-projects/pipeline-safety to learn more about our facilities and current research. Radiation; Metallurgy; Materials science; NDE; Modeling; Fracture; Fatigue; Corrosion
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Summary Seeking a motivated Engineering undergraduate student to support a research project on Multiphysics modeling and insulation design optimization of glass melting furnaces. The project focuses
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 5 days ago
# Development of high-accuracy atomistic models using efficient electronic structure methods, particularly for large-scale systems # Deepening the understanding of strongly correlated electron systems and real
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to identify those most at risk from extreme heat, as well as offering personalized adaptation advice --- translating rich multi-modal data into interpretable, scalable prediction and advising models. ICARUS
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inviting dynamic young scientists, capable of theoretical fracture mechanics and related modeling techniques, to join our team to probe cutting edge issues in fatigue and fracture. Some examples of research
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related dementias. We use a combination of iPSC-based systems and transgenic mouse models coupled with novel approaches including single-cell sequencing, CRISPR–Cas9 screening, and interactome profiling
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records from stalagmites which grew in coastal caves, to reconstruct the phasing of changes in the North Atlantic salinity relative to AMOC variations, and interpreting them with the aid of process models
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(LES) results. Key Responsibilities: Develop and refine numerical algorithms for real-time wind field forecasting. Validate forecasting models against high-fidelity LES data and field measurements