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and qualitative data. Develop visualizations (e.g., tables, dashboards), interpret research findings, and write analytical summaries. Develop, review, and administer online surveys using Qualtrics
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Value Chains, funded by The Bridge initiative. This project focuses on AI-driven data integration, forecasting, scenario simulation, and visual decision-support systems for sustainable forest-based supply
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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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streamline processes and decision making with a focus on EHR reporting, data analysis and visualization for UCSF Health, Benioff Children’s Hospitals and our affiliates. As part of the data analysis and
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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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: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and
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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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draft statistical analysis plans specific to research objectives. Generate analytic data sets, codebooks, and other documentation. Analyze individual-level data to answer scientific questions of interest
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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis