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Field
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analytical and bioinformatics tools to analyse and interpret data To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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life science environment, and have backgrounds in any of the following fields: cell or developmental biology, immunology, neurobiology, biophysics, theoretical physics, computer science, bioinformatics
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chemistry, bioinformatics, or a related field §you have mastered molecular modeling techniques, machine learning algorithms, and programming languages like Python §you are highly collaborative, with excellent
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, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges
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analytical and bioinformatics tools to analyse and interpret data - To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental
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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
Migration of Young Africans and Minors to Europe. Transnationalisation and processes of early empowerment? This project, which brings together an international and interdisciplinary team (including
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comprehensive training in IEMN's cleanroom facilities. The cleanroom work will rely on process modules including molecular beam epitaxy (MBE), dielectric deposition (PECVD and/or sputtering), optical lithography
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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. Defrasne, have highlighted: (i) the value of interdisciplinary and multiscale analysis of rock surfaces, enabling the mapping of various natural and anthropogenic processes; (ii) the contribution
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical