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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
from TRL 3 to TRL 6. It is partially funded by the ANR PRCE project ACCESS and seeks to address critical challenges in the modeling, simulation, and control of active Thin-Film Electroactive Actuators
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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The SiMul team (https://cran-simul.github.io) at the University of Lorraine is offering a fully funded PhD position on the theoretical foundations of self-supervised learning, focusing
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candidate to perform molecular dynamics simulations of different genetic variants of the sodium channel Nav1.1, which are associated with different forms of epileptic syndromes and migraine. The aim
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functioning of ecosystems. One of the project's key tasks focuses on surface models capable of simulating energy, water, and carbon exchanges between the surface and the atmosphere. Your main mission falls
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conditions and validate the developed models. Candidate Profile: We are looking for a candidate with a background in numerical simulation, who is also interested in learning experimental electrochemistry
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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more (for an overview of these technologies, see http://behaverse.org/ ). Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral
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the development of tools for the continuous simulation of powder flows, similar to what we know how to do in fluid mechanics. Recent progress in the description of the behavioural laws of granular media suggests
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of stiffeners in shell structures with watertight geometries, it also allows for easy simulation and shape optimization, see Figure 1. The approach is however currently limited to rather small models with only a