Sort by
Refine Your Search
-
properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
-
using molecular mechanics and hybrid QM/MM methods. Applying density functional theory, correlated wavefunction methods (e.g., MP2, CCSD(T)), and multiconfigurational approaches (e.g., CASSCF, CASPT2
-
. Demonstrated experience in performing simulations at the atomic-scale, such as density functional theory (e.g. VASP, Ab-init, Quantum espresso), molecular dynamics (e.g. LAMMPS, DL-POLY), development of inter
-
paramagnetic compounds, modelling organometallic mechanisms, as well as basic density functional theory, is desired, but not essential. Excellent communication skills and experience of writing up research
-
described below. Research efforts will include application of density functional theory (e.g. QE, VASP, WIEN2K) and post-processing packages (e.g. ShengBTE, phono3py, Wannier90) packages to describe various
-
-vis and EPR spectroscopies, magnetometry, cyclic voltammetry). Some experience in characterising paramagnetic compounds, modelling organometallic mechanisms, as well as basic density functional theory
-
not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
-
Apply now Job no:534905 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants Department: Center for Translational Neuroscience Rank