Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
between condensed matter physics, nonlinear optics or computational photonics. The candidate should: Hold a PhD in physics, chemistry, or a closely related field. Have experience with ab initio methods (DFT
-
) The overall following data and analyses of the different physical effects (orbital vs. Spin contribution) will be accompanied by the development of advanced theory/model/numerical simulations and possibly DFT
-
performing theoretical DFT calculations for solid-state systems and lattice dynamics calculations applying machine learning techniques to predict the solubility of pharmaceutical cocrystals supervising and
-
EDA & semiconductor test tools. MSc/PhD, C++, & EDA/DFT experts: join our startup & have an immediate impact! Job description The POPCORN project aims to revolutionize semiconductor testing by
-
objectives ii, iii, and iv and will therefore apply a large panel of excited-state methods (TD-DFT, ADC(n), CCn, CAS-PT2, etc.) both to define reference values and to benchmark lower-order methods. In more
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 21 days ago
environments, · data manipulation and scripting (Python, Perl, etc.), · programming skills (Fortran, C, C++), · experience with DFT calculations and classical molecular dynamics. We offer: · work in a promising
-
numerical calculations (DFT...) to achieve the objectives of the project. Develop adequat numerical methods necessary to reach these goals. Study of the Pt/Co/HfO2 interface: - Calculate the thermodynamical
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 13 days ago
functional theory (DFT), including the development and analysis of modern functionals # Solid background in electronic structure theory and quantum chemical methods # Extensive and specialized experience with
-
NIST only participates in the February and August reviews. First principles calculations, usually based on density functional theory (DFT), are a crucial aspect of modern materials physics research
-
, electronic properties, and spectroscopic response. A major component of the project will focus on coupling DFT calculations with machine learning models to accelerate spectral prediction, identify robust