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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 9 hours ago
the links between Physics and Computer Graphics. Finally, candidates are expected to have good written and oral communication skills (at least in English, French is a plus) and strong motivation to work
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Professional context: The PhD candidate will join the Cognition, Languages, Speech, and
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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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of the reorganization of visuo-cognitive functions and abilities in older adults during object and scene recognition, by taking into account, for the first time, peripheral vision–based cognitive processes and their
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cavity of the transporters using molecular docking tools (e.g., AutoDock Vina/GNINA, DiffDock, or EquiBind) -Explore the potential molecular determinants involved in GA recognition and identify the most
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recognition: Aljamiado Literature. Usually written in Aragonese language through Arabic script, these texts aimed to convey ethic and religious teachings and the literary experience. From Qur’anic translations
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. Excellent written and oral communication skills are essential. While not required, some knowledge of French can be helpful for everyday life outside the institute. Website for additional job details https
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atmosphere and column chromatography) and compound characterization (NMR) • Experience in synthesis of metalorganic complexes or spectroscopic techniques appreciated • English skills in written and spoken language
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and molecular biology would be a plus. The candidate must also have: - Excellent written and oral communication skills in French/English - An aptitude for teamwork and collaboration - A sense of
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to real-world error patterns by means of learning methods. This requires a recognition of the diverse and complex error patterns that can occur in quantum devices in real-world scenarios. To achieve