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networks, ensemble algorithms, and other advanced architectures, the objective will be to accurately predict the state of health (SoH) of batteries in the short, medium, and long term, including under
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process structures. However, this method is limited by the inductive bias of the predefined superstructure. Innovation: Increased computing power and advances in data science have popularized new algorithms
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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and evaluation of interactive systems, adaptive and personalized interaction, and context-aware systems, applied across multiple domains including healthcare. Aphasia is a language disorder, often
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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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theoretical research is focused on embodied neuroAI, recognising that the body influences biological neural networks, the continuity of actions, and sensory inputs. Leveraging advancements in Drosophila genetic
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response’ laboratory in the laboratory of Dr. JE Ricci, INSERM U1065, Nice. The project aims to investigate how metabolic alterations contribute to the development of multiple myeloma, and what metabolomic
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role in intracellular transport. As such, they play an important role in nuclear positioning. Our team is studying, in a developmental context, how multiple microtubule networks cooperate to position
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for four years. The project involves multiple partners: • OTFT characterizations : L2n-URCA Reims (O. Simonetti) • Polymer synthesis: ICPEES Strasbourg (N. Leclerc) • Material deposition: ICS Strasbourg (M
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of this parasite would not only improve health but also contribute to better socio-economic conditions in affected regions. Gene drive is a genetic engineering technology designed to bias the inheritance of specific