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design (TCAD) tools should operate at the ab-initio and quantum mechanical level. Moreover, they should capture the interplay between electrical (voltage-induced currents), thermal (excitation of crystal
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Description: Apply Position Description We invite talented and motivated applicants for PhD and Postdoc positions in the group of Haowei Xu (https://www.haoweixu.com/ ) at the Department of Physics, City
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The project is part of the ANR BIRD – Photoinduced Doping in Hexagonal Boron Nitride for Deep UVC Applications. The postdoctoral researcher will work on ab initio modeling to understand, at the atomic scale
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represents an area that has not yet been sufficiently explored. To this aim, the present project will employ ab initio calculations to understand the atom-scale phenomena determining the electrode surface
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conduct policies about other schools at Duke University. Compliance with all applicable University and departmental policies and procedures. The postdoc candidate is expected to: Automate workloads of ab
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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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condensed-matter physics Experience with computational modeling, ab-initio quantum dynamics Experience with large-scale code development and running computations on HPC clusters Familiarity with full quantum
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(or similar finite-temperature frameworks) is considered a strong merit. The workplace You will work at Theoretical Physics , IFM, within the Ab Initio Methods and Energy Materials unit. The employment
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materials and molecules with correlated electrons by refining new ab initio Green’s function methodologies that overcome the limitations of existing computational tools. By leveraging the latest advances in