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vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
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analysis. - Define one (or several) precise research questions and perform data analysis to explore them. - Write scientific papers and give scientific presentations in international meetings. - Participate
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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this same detector technology to the CRAB infrastructure, contributing in particular to the instrumentation, validation of the experimental device on site, and analysis of the data produced. - Experimental
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Gammapy is an open Python library for astrophysical very-high-energy gamma-ray data analysis
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, implementation, testing, analysis, and dissemination of results (articles and conferences). The postdoc will work at the Saint Germain des Près site (Université Paris Cité) in the Perception-Action team's offices
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to the processing and analysis of data from the test phases. • Ensure implementation in compliance with ethical standards, IT security, and data confidentiality. • Contribute to documentation, project reports, and
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of biomass, and the development of new methodologies for bond creation and structural analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9168-GREDAN-007/Candidater.aspx Requirements
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). • Carry out acquisition, processing, and analysis of behavioral, EEG, and fMRI data. • Ensure ethical compliance of experimental activities and guarantee adherence to consent and confidentiality procedures
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of the real-time feedback system for resonator–external force coupling - Measurement campaign using an ultra–low-noise optical detector - Data analysis and interpretation within the framework of stochastic