Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days 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
-
+ Interview) Experience in computational methodologies (DFT – QM/MM) (Application + Interview) A strong interest in cross-disciplinary research at the physical science/polymer chemistry interface (Interview
-
based on salt melts. The methods are primarily molecular dynamics simulations and small DFT calculations, but the software COSMO-RS may also be used. The postdoctoral fellow will be part of Prof. Patrik
-
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
-
advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
-
No Desired Start Date 11/10/2025 Job Summary Candidate will work on DFT and atomistic simulation study and experimental development of battery cathode materials in close collaboration between BEACONS and
-
Number: 30648 Posting Number: S06699P Job Description: Candidate will work on DFT and atomistic simulation study and experimental development of battery cathode materials in close collaboration between
-
. 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
-
the next generation of PV technologies for beyond 2030. The new postdoctoral research position will use materials modelling techniques (DFT, molecular dynamics, machine learning potentials) to investigate