Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Groningen
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- Ariel University
- Chalmers University of Technology
- ETH Zurich
- Heidelberg University •
- Justus Liebig University Giessen •
- Leibniz
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Nantes Université
- Nature Careers
- RMIT University
- Technical University of Denmark
- University of Antwerp
- University of Nottingham
- 8 more »
- « less
-
Field
-
density within these films, together with a non-uniform distribution of counterions and specific ion effects but there is no direct evidence supporting this theory. The task of this job is to investigate
-
chemistry software (e.g., Gaussian, Dalton, TurboMole) is highly desirable. Background in Density Functional Theory (DFT) and Time-Dependent Density Functional Theory (TD-DFT) are desirable assets. Strong
-
effects in magnets, this project will develop Density Functional Theory methodology for multicomponent lanthanide materials. We will study, for example, how application of pressure causes the f-electrons in
-
Experience The GCSC encourages you to present and publish your work early on. Assistance is available through workshops and coaching sessions on academic writing and conference presentations. Our e-journal
-
(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
-
on novel high-resolution microscopy techniques to experimentally quantify transition probabilities, alongside density functional theory (DFT) calculations of defects in feldspar. This inter-disciplinary
-
Thematically, our training programme consists of three main areas: Key Competences Theory & Methods Practicals & Schools Most of the courses are on site, but some are online or self-paced, such as MOOCs. You
-
applications such as energy storage, solar, and carbon capture. The project will explore methods beyond traditional density-functional theory (DFT), leveraging cutting-edge techniques such in machine learning
-
to analyze crystallographic data and model electronic structures in complex materials. The work involves creating code for processing diffuse scattering data, performing density functional theory (DFT