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project optimizing the performance of the laser used for the tests, The person will participate in the implementation of the laser shock experiment, in the development of a test plan in more in-depth
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization
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of these materials and structures. This approach enhances both predictive simulation and inverse design strategies, optimizing the composition and arrangement of materials in the 3D design space. Within
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, optimization, and movement analysis. LAMIH provides access to a fully equipped experimental platform, including wireless EMG systems, optoelectronic cameras, inertial sensors (IMU), and force plates. Experiments
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value-added materials. Objectives of the PhD The PhD candidate will focus on designing and optimizing green spinning processes for lignin-based fibers, relying exclusively on enzymes and water, avoiding
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of these tools and will be expected to introduce their own modifications in order to adapt and optimize the analysis for the study at hand. Other tasks include: * Optimizing the experimental setup (4D observations
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. Optimize the acquisition parameters of 3D-Electron Ptychography (combining ptychography and a limited number of view directions, ie., tomography) and improve or further develop the reconstruction algorithm
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-fuel need high fidelity computation tools to select the appropriate operating conditions and optimize the burner geometry. A major difficulty is related to the complexity of combustion chemistry
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PostDocs, and several Ph.D. students. More in general, research at LAAS-CNRS spans robotics, optimization, control, telecommunications, and nano-systems. The robotics department at LAAS-CNRS counts more than
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demonstrating a proof of concept for low-power logic gates based on spin waves. The work involves experimental research. The post-doc will be responsible for: - the growth and optimization of magnetic thin films