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Offer Description Mission: Develop applied research activities in quantum networks, focused on their modeling and experimental characterization. Functions to be developed: Perform modeling and simulation
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, and supporting training activities, preferable in health science education or higher education setting. · Management and programming of simulation models highly desirable Preferred License: Yes If yes
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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. Teaching skills. Other qualifications: Experience with high-fidelity simulations (DNS, LES). Experience with heat-transfer modeling, especially in complex-geometry flows. Experience with RANS model
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specimens. The postdoc will contribute to the development of hybrid modeling and identification approaches that combine classical constitutive frameworks, numerical simulation, and machine learning. The work
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response to climate forcings for different past climates. · Perform and analyze global model simulations. · Collaborate with IPSL Earth System model developers to ensure consistent integration
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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methods, such as Convolutional or Bayesian Neural Networks, Simulation-Based Inference (SBI), Normalizing Flows, or Diffusion Models, is also a plus. The position includes a competitive salary, research
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methods for multiphase flow models Integrate experimental, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase
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, pilot-scale, or high-fidelity simulation data into model calibration and validation workflows Design and run numerical simulations of multiphase flow systems and reactors Quantify model uncertainty and