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on the development of mathematical and computational models of biological systems. This position is supported by an NIH Virtual Consortium for Translational/Transdisciplinary Environmental Research (ViCTER) grant, “In
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: 87647BR Supervises staff involved in providing clinical patient care. Assists in ensuring the quality of patient care delivery in a specific patient care area and serves as a role model for professional
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and Failure of the Surface-Stress "Core-Shell" Model in Brookite Titania Nanorods. Chemistry of Materials, 2020. 32(1): p. 286-298. Ab initio theoretical modeling; Active nanodevices; Atomic scale
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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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”) on the development of material flow analysis (MFA) methods and digital methods for spatial analysis. Specific tasks comprise: Design and apply digital models for analyzing and simulating circular futures
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 1 day ago
on bubble coalescence using innovative multicolour thin-film interferometry # Evaluate synergistic effects between ions in recycled water and added frothing agents, and determine film lifetimes for model
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Scientist Position #: 00845968 – Requisition #:39260 Job Summary: Our laboratory develops translational models of transplantation and regeneration to study immune responses, neuronal connectivity, and tissue
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at the surface of various materials. Key Responsibilities: Perform quantum mechanical calculations (DFT) for establishing reaction mechanisms and kinetics Develop and apply advanced computational models to predict
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interaction with materials, as well as surface reaction kinetics based on kMC-type descriptions. The main activities include: (1) the development of efficient surrogate models of kMC-based surface kinetics
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability