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Pasteur center, in Paris (France). We are seeking an outstanding, highly motivated advanced scientist in molecular biology and neuroscience for projects on gene regulation and gene regulatory networks with
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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput
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for the High-Luminosity LHC. Our primary responsibility is the integration of double-sided silicon sensors onto mechanical support structures (ladders), including the associated electrical, optical, and cooling
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analysis for more geometries and with a reduced number of sensors - Implementation of the MSE method on a cylindrical structure immersed in water and sensitivity analysis - Algorithmic and experimental
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) * electromagnetic design of device using soft-ware such as comsol *clean room fabrication using both optical and e beam lithography *Optoelectronic characterization of infrared sensor (I-V, photocurrent spectrum
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learning in neural networks within the ANR-funded MAPLE project, under the supervision of Dr. Bruno Loureiro . Funding is available for two years. Responsibilities Conduct research on the mathematical
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systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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to real-world problems in sectors such as energy, mobility, or logistics. Understanding of the energy system and/or transport and logistics networks is a plus. Exposure to techno-economic modeling