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complex nonlinear models, with unique research opportunities in algorithm and hardware co-design, particularly for resource-constrained environments. Applications focus on edge intelligence
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Scaling analog in-memory computing towards large generative AI models H/F Subject Your work will span device-to-algorithm co-design, focusing on state-of-the-art small language model engineering and
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languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction
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Liège. Your tasks in detail: Develop an event-driven learning algorithm for latent reasoning that sparsely updates network state and parameters in complex reasoning scenarios. Explore hardware
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will initially focus on algorithm development and simulation. Starting from reference methods, you will evaluate different strategies and progressively incorporate realistic ReRAM device characteristics
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will involve: - Understanding the various sensors. - Implementing a calibration algorithm using AI-based methods. - Adopting a rigorous scientific approach to validate the relevance of the proposed
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| Institut Pasteur, Paris Can we restore hearing and balance by correcting the genetic cause of disease? We are looking for an outstanding and highly motivated PhD candidate to join the RESTORE project
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, intelligent imaging, multi-scale correlative: the innovations of the ZEN software to gain autonomy” News Cocaine addiction: impact of genetic mutations elucidated News Better estimation of Bacterial
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French National Institute for Health Research (INSERM) | Lille, Nord-Pas-de-Calais | France | about 1 month ago
health and diseases. To address these questions, we use an integrated technology framework combining advanced genetic and systems neuroscience approaches in mice, including in vivo fiber photometry