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investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of thermal energy storage. Showcase the ability to conduct independent research while
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(MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase
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of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase the ability to conduct independent research while demonstrating
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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
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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems
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of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good programming skills (e.g., C, C++, Python
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social
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. Contribute to scientific publications and disseminate results to decision-makers and communities. Qualifications required PhD in one of the following fields: electronics and embedded systems
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refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental distribution. Spectroscopic techniques (XPS, Raman, FTIR) for surface chemistry studies. Electrochemical