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Field
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interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use of data-intensive technologies. Field
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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for academia and economy as both science and industry make increasing use of data-intensive technologies. Field of subject for the position: Computer Science with specialization in Information Visualization and
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of human-centered data analysis and interactive visualization for decision making. These research topics are highly relevant for academia and economy as both science and industry make increasing use
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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tracking, and/or visual reality environments Proficiency in Python and scientific computing libraries Familiarity with spike sorting workflows (e.g., Kilosort, SpikeInterface) and neural data quality control
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-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences
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processing. Strong written and oral communication skills, abilities in scientific visualization and illustration. Minimum Qualifications Ph.D. in Materials Science, Mechanical Engineering, or a closely related
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separations, materials science. POSTDOC APPOINTMENT TERM: Fall 2024 – February 2026, with potential for renewal SALARY: Institution dependent Your application should include: Cover letter explaining why you are
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4 Oct 2025 Job Information Organisation/Company CNRS Department Centre de recherche Cerveau et Cognition Research Field Neurosciences Psychological sciences » Cognitive science Psychological