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interaction is a plus Experience in programming, numerical modelling Proficiency in English, both written and spoken Experience in publishing research in peer-reviewed scientific journals We offer 1.0 FTE fixed
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focus on quantum impurity models (particularly Kondo model). • Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques such as exact
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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nonlinear, ultrafast, and integrated photonics. Develop predictive theoretical and computational models for optical materials and photonic devices. Perform numerical modelling and simulation of optical
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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. Numerical modeling of Mercury's magnetosphere and ion dynamics 2. MSA instrument data analysis LPP (Laboratory of Plasma Physics) is a joint research unit of the CNRS, École Polytechnique, and Sorbonne
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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heterostructures. This position offers opportunities for collaborative theory development, advanced numerical modeling, and participation in a vibrant, multi-institutional research environment. Regular joint