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to computational models. The group has a leading role in European within the fields of unconventional computing, our Comet initiative , and Computer Architecture, our CAL initiative . The position will be part of
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activity concerns the development and validation of advanced numerical models for multiphysics simulations of high-pressure combustion, with space propulsion and Liquid Rocket Engines (LRE) as reference
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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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Our Modeling and Simulation Group offers an interdisciplinary and agile research environment within a dynamic and diverse group. The project is an excellent example for research at the interface
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development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different
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: The call is open from 04/09/2026 a 17/09/2026 (until 23:59 local time). Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. NUTRILIX-BII-CRISTALIZAÇÃO
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must be submitted via the online application system available at https://www.apply.up.pt (Ref. BII2-PVBoost-BOLS-FEUP-26-24) by 17-09-2026, accompanied by the following documents: - Motivation letter
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mutations in the Survival Motor Neuron 1 (SMN1) gene, resulting in reduced levels of SMN protein. Because patients lack a functional copy of SMN1, SMN protein production relies on the SMN2 gene, which
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge