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Field
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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, or demonstrate a willingness to acquire relevant expertise rapidly. Proficiency in coding, numerical modeling, and experience with periodic DFT codes or MOLCAS are desirable attributes. The start date
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heat transport at the nanoscale. Couple BTE-based models with information from atomistic simulations DFT of advanced materials and thermal interfaces. Investigate phonon scattering, thermal conductivity
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Discrete Fourier Transform-Spread-Orthogonal Frequency Division Multiplexing - DFT-s-OFDM Resource allocation and security design: Simultaneous wireless information and power transfer, physical layer design
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will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
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functional theory (DFT)-based approaches, coupled with effective continuum and/or tight-binding models derived from first-principles calculations. The project is part of a large, multi-institution
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Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale
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: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
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in written and oral English. Experience in DFT-based molecular dynamics simulations and free energy calculation (e.g., metadynamics and free energy perturbation) in condensed phase systems. Programming
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fluent in written and spoken English. Desirable qualifications: Experiences in battery technology, especially Li-ion batteries, will be beneficial; as is comptences in materials modelling (DFT, MD, etc