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physics is especially interesting due to the presence of exotic excitations, potentially non-Abelian. The TensQHE project aims to develop modern numerical tools based on tensor networks, within an open
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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. While processors and network interface cards can be time-multiplexed, RAM is spatially shared. Memory is therefore often the bottleneck when dimensioning and operating data centers. The candidate will
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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: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and commercialization
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? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description Define the spatiotemporal mechanisms of the response to mechanical stress within an epithelial tissue
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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, necessary software, Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7077-BORBUR-002/Candidater.aspx Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Research