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benefit from close collaboration with leading experts in chemical synthesis, advanced characterization, and atomistic simulations. Located in the Zurich Area, Empa offers outstanding infrastructure, a broad
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areas (i) Non-adiabatic chemical dynamics, (ii) Physics of charge transport in the solid state, (iii) QM/MM methods, (iv) Atomistic classical simulations of macromolecules (v) Biophysics. You can write
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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starts with a minimum of $63,968 The candidate’s main job responsibilities include: · Designing, testing, and evaluating state-of-the-art data-driven models based on large-scale atomistic simulation data
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involves computer simulations of catalytic and environmental interfaces, aiming at reaching fundamental new understanding of elementary processes at such interfaces. As part of our work, we also seek
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experience in developing electronic structure methods and their application to perform atomistic simulations of molecules and materials. These include (but are not restricted to) SIESTA (www.siesta-project.org
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theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers the opportunity to work with
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Theoretical Solid-State Physics. Extensive experience in ab initio, atomistic simulations focused on materials engineering and materials science challenges. Proven experience in integrating continuum mechanics
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execute computational simulations of chemical phenomena Experience in atomistic simulations, microkinetic and/or kinetic modeling Expertise, experience, or interest in machine-learning, data science
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The Computational Science Division (CPS) at Argonne National Laboratory (near Chicago, USA) is seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices