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of quantum information science, tensor network theory, and generative modeling (transformers, diffusion models, etc.). - Conduct cutting-edge research at the intersection of quantum information, machine
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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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of ethical and regulatory files. • Contribution to the collaborative development of neurofeedback software (user interface, usability feedback). • Participation in team meetings and regular exchanges with
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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geometry to define optimal surfaces for jet production. - Lively and interdisciplinary laboratory - Fully equipped laboratory Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7646-AREBOU-003
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software that integrates with the Gammapy framework, enabling the integration of public data from current Cherenkov telescopes and the future CTAO. The successful candidate will ensure that the software can
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diarylethenes, sensitive in the near infrared. The final target is to integrate them in synapses of artificial optical neuronic networks. Main tasks: • Synthesis and charaterization (NMR) of organic photochromic
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team (photonics, neuromorphic computing, software development, microfabrication) to develop and implement original solutions. ● Contribute to the development of the startup's intellectual property and
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their structure. Small-angle X-ray scattering analysis (SAXS), already used others systems, has proven effective in this regard, providing quantitative information on the key parameters of a structured network in
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waves from shots). The postdoctoral researcher will use data acquired in Ecuador on a 3D network of ocean bottom seismometers and land stations. As part of Mission 1: 1. Implementation/adaptation