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Field
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or lead mixed-methods analysis combining survey data with qualitative findings where applicable. Reporting & Dissemination Develop data visualizations, technical reports, donor updates, and academic
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analysis of large-scale 2D/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
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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7 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Visual arts Researcher Profile Recognised Researcher (R2) Application Deadline 20 Apr 2026 - 21:59
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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8 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Arts » Visual arts Researcher Profile Recognised Researcher (R2) Application Deadline 20 Apr 2026 - 21:59
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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of Health (LIH) is seeking a highly motivated Postdoctoral Researcher with specialized expertise in multi-omics data analysis. You will play a central role in analyzing large datasets from multiple large