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of state Developing a semi-primitive approach for the electrostatic forces Predicting solid-liquid equilibria (3) Molecular thermodynamics for inhomogeneous electrolyte systems Developing classical density
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. You will also spend 3 months at Georgia Tech/Emory University (USA), working on machine learning and data benchmarking. Work description The selected PhD student will be responsible for the full
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for candidates with strong analytical skills, curiosity, and enthusiasm for cryptographic research. A solid background in theoretical computer science, mathematics, or a related field will be considered an asset
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refined technology available, we are getting more and more answers and further insight about the Earth and the universe surrounding us. We contribute to about 200 scientific publications a year. In the
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developing solid teaching skills. You are willing to work with problem-based learning and to involve students actively in their own learning processes through project work, supervision and dialogue-based
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complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations