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films, the thin film patterning in clean room, the magnetic anisotropy measurements, the surface morphology analysis, the magnetic sensors characterization The selected candidate will be responsible
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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). The unit is divided into ten research teams of varying size covering the thematic axes of photonics and waves, materials, energy, reliability of systems in constrained environments and sensors and
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sensors dedicated to the mid-infrared. This work is funded by several ongoing ANR projects within the research team. This position may be renewed once for an additional period of between 18 and 24 months
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implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
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; – the implementation of strategies for effluent collection and analysis to monitor the metabolic and secretory activity of the organoids; – the integration and validation of sensors (notably
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:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
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regional network of memory clinics in the Hauts-de-France region, and the demographic and clinical data within this database, specifically regarding patients at the memory center (in terms of the sex ratio
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of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
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spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties