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for quantized and pruned neural networks, creation of quantized and pruned demonstration models, reproduction of state of the art, experiments in heterogeneous quantization Depending on expertise
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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, we are looking for a Senior Researcher in Frugal / Green AI who will : Define scientific and strategic orientations aligned with the institute's research roadmap Lead research, development and
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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, the project objectives are defined as follows: – Develop and validate smart EV charging strategies that account for network constraints, renewable energy availability, and user behavior. – Design and assess V2G
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to up to 30 kHz leads to the massive production of data, for which fast (even quasi-instantaneous) processing via neural networks is crucial. Objectives and expected results: The PRICELESS PhD project
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 3 days ago
to confirm or challenge the initial findings. He or she will also be expected to test and develop new calibration transfer methods, including neural network approaches, notably in collaboration with
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“Advanced tools for operation/supervision of energy networks” at the Rennes campus of CentraleSupélec. The position is funded as part of the French National Research Agency’s (ANR) FairGrid-AI project “Fair
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carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and nutrient uptake. Despite its importance, this underground system remains
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide