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of Linear Mixed Models (LMMs). The project's goal is to develop a new breed of Mixed Effects Neural Networks (MENN) for Genome InterpretationI that take the best from both worlds, merging the flexibility and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This postdoctoral position aims to explore the use of Mixed Reality (MR) in the context
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opportunity to choose between two missions: • Mission 1: Improve new automated algorithmic schemes to quickly, efficiently and robustly detect and extract recorded geophysical signals related to earthquakes
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Acoustic Sensing'), we are looking to recruit a post-doctoral student to work on very low frequency signals recorded by Distributed Acoustic Sensing (DAS). This project aims to explore the capabilities
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systems, specifically air-sea interactions in the ocean. The primary objective is to develop a consistent and well-calibrated mixed-layer-wave parameterization to capture turbulent kinetic energy (TKE) and
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subject : The MIXAP-EU project (MIXed reality authoring APplications for and by teachers in EUrope) is a partnership of researchers and professionals aimed at supporting practising teachers in the creation
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of the work is to design a low speed wireless link without using any analog component and to associate tools to identify an IoT module and to detect hardware attacks in real time during the communication
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photobioreactors (PBRs) to outdoor, low-energy systems. While closed PBRS ensure rigorous control of environmental variables and high areal productivity, recent comparative studies indicate that open raceway ponds
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to preserve the internal charge and handle the output signal of the RE (buffering function, polarity and gain adjustment). More precisely, a new embedded analog system will be developed, tested and evaluated
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Institut de Recherche pour le Développement (IRD) | Toulouse, Midi Pyrenees | France | about 15 hours ago
geography and sociology approaches. GET encompasses 7 research teams mobilizing complementary skills in spatial and in situ observation, numerical and analogic modelling, and laboratory experimentation