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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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experimental and numerical approaches. Materials classes of interest include components (monomers, polymers, additives, (nano)particles, etc.) utilized in high-performance polymeric materials with relevance in
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce
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only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes
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was originally developed to simulate water and solute transport in roots, part of this task will be to introduce gaseous transport of water and CO2, and transitory starch pools. Model development will be performed
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of our national industrial partners). Road condition is an essential part of mobility which influences virtually all facets of driving and tire performances. That is why it is becoming a demanding
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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tailored solutions to industry, research centers, and universities, addressing critical challenges in energy, microelectronics, life sciences, and industrial processes. Within the SIPT Unit, you will be part
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email will not be considered. Application procedure and conditions We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity