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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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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
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learning applied to dynamic systems; Proficiency in key machine learning libraries (PyTorch, JAX, etc.); Mastery of Python and the software ecosystem for scientific data analysis and management (NumPy
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• Participation in the international Long-Term Ecological Research network or a similar ecological research network • Experience working with spore-forming Firmicutes (bacilli) and/or Actinomycetes (culture
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different methods of analysis used in the community, in particular linguistic probes (classifiers trained to predict certain linguistic properties from representations discovered by neural networks