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. - This first step will be followed by the construction, in TemisFlow, of the numerical model of the basin based on these data. - The main part of the work will then consist of simulating different hydrogen
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, event reconstruction, validation, storage of certified data sets; - Setting up a simulation model of the experimental situation (direct problem), including a Monte-Carlo simulation of the detector
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mechanisms for chemical compounds of the C0-C3 base. - Development of the experimental data matrix serving as a validation target - Getting to grips with simulation tools - Identification of current defects in
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of lattice CAD models via generative/parametric design (e.g., Grasshopper); - Numerical FE simulation of meta-grains (Abaqus or Z-Set); - Extraction of key data (mechanical properties, critical load
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biological tissue. The work will combine modeling with instrumental developments and experimental measurements. The solutions envisaged for optimizing laser beam injection, transport and focusing will be
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computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
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mathematicians to develop models of ant behavior. Where to apply Website https://www.unilim.fr/recrutement-post-doctorant-modelisation-impact-cognition-… Requirements Research FieldBiological sciences
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estimate of global ocean CO2 uptake to the Conference of the Parties (COP) each year. The analysis is based on combined sea surface observations of CO2 partial pressure observations and models estimate
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is expected. Additionally, the postdoc should demonstrate open-mindedness and a strong interest in numerical simulation exercises to engage with the modeling team of the DEEP-C project. Specific
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, programming. Topic open: In recent years, a new class of macroscopic models has been developed, primarily for soil-foundation-structure interaction applications. These models can be considered an “upscaled