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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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the Institute of Planetology and Astrophysics of Grenoble (IPAG, France). The successful candidate will join the group led by Benoît Cerutti to work on ab-initio plasma simulations of relativistic
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millifluidic environments by investigating the influence of select biopolymers and medium formulations on bacterial and nutrient transport. Fluidic layers will be designed to simulate relevant sediment grain
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calorimeter for the future FCC-ee ALLEGRO detector, with simulation studies and hands-on work on the early prototypes of this detector. Depending on time and interest, the candidate could also contribute
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at SCK CEN and will be responsible for analyzing and interpreting the collected data, as well as for fully simulating the experiments conducted. Finally, he or she will contribute to the drafting
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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using gem5 simulator as the main execution backend for the RL agent, while also investigating the potential of RTL simulation and physical RISC-V board as complementary execution nvironments. A key aspect
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of configurations generated in silico as well as their thermodynamic, dynamic (phonon), and mechanical properties, and performing DFT/MLIP NpT and NVT molecular dynamics simulations. - Analyzing and exploiting
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance