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products, machine design and structures. Profile We are looking for excellent applicants with a Doctoral degree in Mechanical Engineering, Computer Science, Applied Mathematics, or a related area of study
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argon liquid phase using electronic structure calculations. Developing computer code for computing ionization rates with general dark matter-electron interactions. Exploring appropriate descriptions
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or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials science is desirable. An interest in active
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metal complexes and functionalized carbon nanomaterials. Gain insight into the electronic structures, magnetic/thermochemical properties of newly synthesized materials using a suite of spectroscopic