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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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in Journal Citation Indexed (JCR) journals. Qualification or experience in any of the following disciplines: Life Cycle Assessment, Density Functional Theory or Materials Experimentation
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disciplines: Life Cycle Assessment, Density Functional Theory or Materials Experimentation & Characterization. WHAT WE OFFER A competitive and negotiable salary, commensurate with experience and expertise
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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Physics, Materials Science, Chemistry, Chemical Engineering, Applied Physics, or a closely related field with a focus on computational materials modeling. Density Functional Theory (DFT) for surfaces and
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functional theory (DFT), anharmonic lattice dynamics, machine learning force fields, transport, and high-performance computing (HPC). Position Specific Responsibilities/activities: Perform ab-initio
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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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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batteries. The main objective is to develop a molecular-level understanding of electrolyte degradation and to predict chemical stability by constructing reaction networks based on density functional theory
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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multipurpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic