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on large-scale numerical simulations, instrumented experiments, and onboard robotic data could learn generic representations of local interactions between mobile robots and their environment, enabling
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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; • mathematical modelling, development of FEM models (preferably using Ansys), and simulations, particularly in the areas of electromagnetics, power losses, etc.; evaluation, verification, and optimization
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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of software infrastructure to optimize data workflows Developing analytical methods to integrate different types of sequencing-based DNA data. Developing computational models for prognosis and treatment
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conditions. As a PhD researcher, your work will specifically involve the following activities: Designing and numerically evaluating strategies for integrating optical fibre sensors into high-pressure
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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. PhD Position on Nanozyme-based coating for antimicrobial implants Your tasks Design and synthesize nanozymes: Develop nanozymes, and optimize their physicochemical and catalytic properties. Develop
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on solitary waves and on analysing their stability. We will also extend the study to related configurations, such as ferrofluid jets under vorticity and swirl. The mathematical and numerical techniques
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of heterogeneous technologies are increasing the complexity of power delivery, thermal management, and energy optimization across the entire computing stack. Emerging technologies such as fine-grain 3D integration