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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
to collaborative software development and version control systems (Git) # Experience with electronic structure and molecular dynamics simulation codes (VASP, QuantumEspresso, CP2K, LAMMPS) # Motivation to work
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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states. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, nonlinear electronic spectroscopy, organic synthesis, and materials characterization. Major
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areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate
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. INSAIT has also excelled in other areas of computer science such as machine learning, computer vision, and robotics, with publications in leading venues like CVPR, NeurIPS, ICML, and ICLR. Structured
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-developing climate storylines that explore future imaginaries of justice, adaptation, and policy response - grounded in empirical research with immobile, structurally excluded, and other diverse communities
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thereafter. Project Description RESPOM aims to leverage the immense progress in structural biology and state-of-the-art four-dimensional scanning electron microscopy (4D-STEM) to characterize POM clusters in
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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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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in