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computing Experience in the development and application of process-based models and/or model–data fusion and data assimilation methods Very good programming skills in Python and/or Fortran; knowledge of
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exactly solvable models) alongside large-scale numerical simulations on high-performance computing facilities Characterize the transitions that govern quantum information protection, from encoding and
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Physics, specializing in neutronics or nuclear engineering Computing skills: Proficiency in C++ (as the core computational kernels are written in this language) Applied mathematics skills: Numerical
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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Optimize the recycling of critical metals: simulation and X-ray spectroscopy for intelligent sorting
numerical simulation techniques and artificial intelligence. The student will also contribute to optimizing sorting processes, leveraging databases enriched with innovative methods. The student
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Integration (LIST), located in the southern Île-de-France region (Saclay), has the mission of contributing to technology transfer and promoting innovation in the field of parallel computing systems
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Technology Integration (LIST), located in the southern Île-de-France region (Saclay), has the mission of contributing to technology transfer and promoting innovation in the field of parallel computing
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, microfluidics, laboratory automation, and GPU computing infrastructure. The opportunity to develop AI methods and scientific software that are directly deployed on cutting-edge experimental
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications. Your work will focus on deploying, operating and scaling scientific software
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How