Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
-
, or demonstrate a willingness to acquire relevant expertise rapidly. Proficiency in coding, numerical modeling, and experience with periodic DFT codes or MOLCAS are desirable attributes. The start date
-
will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
automates building and modifying surface structures, submitting DFT calculations, post-processing electronic structure and vacancy energies, and extracting machine-learning descriptors for modeling oxygen
-
Minimum Qualifications: Ph.D. in Materials Science, Physics, Chemistry, Mechanical Engineering, or related fields Preferred Qualifications: Strong expertise in atomic-scale simulations (e.g., MD, DFT, ML-FF
-
Healthcare Monitoring We welcome applications from those with expertise in or across these disciplines: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale
-
Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
-
for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
-
) with DFT atomistic simulations to investigate the electronic structure and defect states in wide bandgap semiconductor nanomaterials. The goal is to better understand and optimize function