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, G. (2020). A Simple Framework for Contrastive Learning of Visual Representations. Proceedings of the International Conference on Machine Learning (ICML). [4] Vinayakumar, R., Soman, K. P
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interfaces adapted to the different profiles of field operators. Integration of visualization, data sharing, and expertise feedback features. Creation of a digital twin. Testing, validation, and continuous
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in data analysis, scientific visualization, and signal processing will be considered an asset. The candidate should demonstrate autonomy, scientific rigor, and teamwork skills. Strong abilities in
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24 Feb 2026 Job Information Organisation/Company UNIVERSITE D'AVIGNON Research Field Arts » Visual arts History » Modern history History » Contemporary history Researcher Profile Recognised
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24 Feb 2026 Job Information Organisation/Company UNIVERSITE D'AVIGNON Research Field Technology » Communication technology Communication sciences » Media studies Arts » Visual arts Communication
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Recherche sur la Conservation (CRC – UAR 3224 CNRS / MNHN / French Ministry of Culture), within the Colours and Visual Effects research group. The project is part of the field of heritage science and aims
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Apply state-of-the-art digital methods - including e.g. AI services, text analysis, corpus exploration, and data visualization - to trace the circulation of ideas across national contexts Work with state
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) Conducting descriptive and inferential analyses Development of multilevel models for longitudinal EMA data Contribution to scientific reports and publications Data visualization and reporting # Advanced
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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, processing, visualization, interpretation…) Analyze single-cell and spatial transcriptomics datasets Decipher metabolomic patterns Perform high dimensional data analysis and integrative ‘omic’ data analysis