Postdoc Position in Computational Materials Chemistry at the Mads Clausen Institute
Syddansk Universitet
We are seeking an enthusiastic new colleague as a Postdoctoral Research Associate in Computational Materials Chemistry, with a strong background in first-principles (DFT) calculations, computational materials science, and machine-learning-driven materials discovery. The successful candidate is expected to have experience in areas such as high-throughput DFT calculations, thermodynamic and phase stability analysis, crystal structure prediction, materials informatics, and machine learning, preferably applied to inorganic functional materials.
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