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and/or bioinformatics. Keen interest in antibody biology and human immune responses. Previous experience and keen interest in developing skills in data analysis, statistics, and/or visualization is an
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)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create multimodal systems. The emphasis is
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applications. Your key responsibilities: • Develop, validate, and apply new MRI sequences to visualize various aspects of the brain clearance system. • Develop and perform advanced data reconstruction, post
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that language can be fully expressed in the visual modality. - Using large-scale data-driven methods to recognise and interpret the interplay of speech and other modalities. This could involve training
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., mobile apps, dashboards) for data visualization. Contribute to documentation, experiment logs, and progress reports. Participate in weekly lab meetings; present findings and progress. Collaborate with team
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interaction, psychology and sociology. Core research topics are communication & technology, verbal and non-verbal communication, health communication, climate communication, information visualization, language
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relation to local environmental cues such as light intensity, wind conditions, and visual structure. A key focus will be on how Dipteran insects perceive and use these cues—especially visual landmarks and
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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3 Oct 2025 Job Information Organisation/Company Ecole Normale Supérieure Department Département d'études cognitives Research Field Psychological sciences » Cognitive science Researcher Profile First
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, support student-athlete health, and well-being, and enable scientific and educational research. The candidate will assist with data curation, creative development of data visualization and analysis tools