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). Knowledge of complex network modelling, omics data analysis or computational simulation. Research FieldOther Internal Application form(s) needed Perfil. .pdf English (606.79 KB - PDF) Download Additional
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support the development of electron and hole spin qubit devices based on Si/Ge heterostructures through analytical modeling as well as advanced numerical simulation with TB_Sim. Topics of interests include
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
analyzing molecular dynamics (MD) simulations to understand water and solute transport through highly crosslinked polyamide systems. The postdoctoral researcher will study polymer chemistry, crosslinking
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integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely
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a low-energy alternative for liberating indurated phosphates. This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with
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genetics. ● Experience with protein biochemistry and functional assays. ● Experience with mouse infection models. Brief Description of Duties: The Postdoctoral Associate will assist the Principal
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; • Evaluation and interpretation of experimental results; • Performing calculations and numerical simulations in nonlinear analysis software Atena; • Modeling the load-bearing capacity of concrete elements
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. The postdoctoral appointee will work closely with multidisciplinary teams at Argonne and partner institutions and is expected to contribute to both methodological innovation and practical validation using simulation
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., microfluidic channel optimization, polarization-dependent scattering studies, spectral imaging implementation, or algorithm development). Planning experimental campaigns, simulations, and modeling efforts