Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- ICN2
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- VIN UNIVERSITY
- Argonne
- Nature Careers
- Leibniz
- Princeton University
- University of Jyväskylä
- University of North Carolina at Chapel Hill
- University of Oxford
- Uppsala universitet
- AALTO UNIVERSITY
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- City University of Hong Kong
- Czech Technical University in Prague
- ETH Zürich
- Hanyang University
- Heriot Watt University
- Illinois Institute of Technology
- Institut Català de Nanociència i Nanotecnologia
- King's College London
- Max Planck Institute for Extraterrestrial Physics, Garching
- Oak Ridge National Laboratory
- Technical University of Denmark
- The Cyprus Institute
- Universitat de Barcelona
- University of California
- University of California, Merced
- University of Kansas
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Southern Denmark
- Villanova University
- Wrocław University of Science and Technology
- 25 more »
- « less
-
Field
-
. Interpretation of experimental results and integration with theoretical/DFT insights in collaboration with computational partners. Active participation in synchrotron beamtime experiments (XANES, EXAFS) and post
-
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
-
: Computational materials modeling: DFT, molecular dynamics, phase-field modeling, or multiscale simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis
-
in written and oral English. Experience in DFT-based molecular dynamics simulations and free energy calculation (e.g., metadynamics and free energy perturbation) in condensed phase systems. Programming
-
fluent in written and spoken English. Desirable qualifications: Experiences in battery technology, especially Li-ion batteries, will be beneficial; as is comptences in materials modelling (DFT, MD, etc
-
functional theory (DFT)-based approaches, coupled with effective continuum and/or tight-binding models derived from first-principles calculations. The project is part of a large, multi-institution
-
. 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
-
assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or CFD methods DFT and Molecular modelling linked to CCUS Strong analytical and problem-solving skills, with
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
materials research group led by Dr. Mengen Wang is seeking a postdoc researcher to work on computational materials. The postdoc researcher will perform DFT calculations and develop methods to accelerate
-
motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue