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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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quantum dots. In particular, based on our recent result in small arrays, we aim at exploiting coherent control of spin qubit in larger arrays to perform quantum simulation or algorithm. Therefore
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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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engineers, heavily contributing to instrumentation development and physics analysis. The candidate will be primarily based in Paris, with frequent travels to CERN. Where to apply Website https
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generally based on fluorophores with different emission wavelengths. However, it is also possible to use the emission lifetime to create a contrast. For example, FLIM (Fluorescence-lifetime imaging microscopy
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and synchrotron-based experiments, in order to identify the possible presence of organized interstitial oxygens; • Working in close collaboration with the project's theoreticians to interpret
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with the main field of application being topological photonics based on microcavities. Analytical calculations Numerical calculations Analysis of experimental data The work will be carried out
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Additional Information Eligibility criteria The candidate should have a PhD in Biology/Evolutionary Biology and skills in bioinformatics and macroevolution (ideally models of phenotypic evolution
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research is based on recognized expertise in synthesis, structural and chemical characterization at the nanoscale, micro- and nanomagnetism, spin dynamics, and atomic-scale modeling. Where to apply Website
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-T-fO2-aH2O. These experimental constraints will allow building novel geochemical and geodynamic models linking the shallow felsic crust production, segregation with mantle-crust differentiation and