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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
scales. The objective of this project is to explore a new simulation methodology based on neural surrogate models. By incorporating a “memory effect” into numerical solvers, our approach aims
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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Helena Maria de Oliveira Freitas Effective Members
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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout
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researchers and doctoral students across 13 research groups. Research at LOE spans materials synthesis and chemistry, theory and modelling, fundamental materials physics, and device development, with
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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of the disease. A major constraint of most existing methods for cure models is the sufficient follow-up assumption, i.e. the study duration should be longer than the time span of possible events, which is rarely
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights
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integrating laboratory experiments, field observations, and theoretical modelling within an international, multidisciplinary research team. The successful candidate will investigate how the mechanical