Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- KINGS COLLEGE LONDON
- Princeton University
- ; University of Cambridge
- Argonne
- CNRS
- Free University of Berlin
- ICN2
- Illinois Institute of Technology
- Iowa State University
- King's College London
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Nature Careers
- Slovak Academy of Sciences
- University of Cambridge
- University of Central Florida
- University of Cincinnati
- University of North Carolina at Chapel Hill
- University of North Texas at Dallas
- University of Nottingham
- University of Oxford
- 11 more »
- « less
-
Field
-
proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
-
related field Preferred Qualifications: Expertise in quantum chemistry of biomolecular or metal-coordination systems Experience with DFT, correlated wavefunction methods (e.g., MP2, CCSD(T)), and/or
-
the development of hierarchical computational materials discovery schemes combining random structure searching, machine learning, atomistic, and density functional theory (DFT) calculations to accurately and
-
(e.g., DFT modelling), or solid-state NMR spectroscopy. Excellent communication skills, a collaborative approach, and the ability to work independently are also key requirements for this position. A
-
(e.g., DFT modelling), or solid-state NMR spectroscopy. Excellent communication skills, a collaborative approach, and the ability to work independently are also key requirements for this position. A
-
yield optimization. Exposure to quantum chemistry (DFT) and molecular simulations is a plus. Experience with cloud computing and/or high-performance computing (HPC) resources. Application Process
-
CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in
-
have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
-
. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
-
. Some experience with first-principle methods (FP/DFT) and/or other forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong