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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and
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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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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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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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, information technology, data analysis, statistics, finance, public health, or a directly related field from an accredited institution. 1+ year of experience creating reports, visualizations, and/or analytics
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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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environment for data manipulation and analysis with consideration for team-based code development. Experience developing and maintaining interactive visualizations using R-Shiny. 3-4 years of relevant
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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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. Duties to include: Provides overall support to the Neuroinformatics and Brain Connectivity Lab by assisting senior project members with data analysis, data interpretation, data visualization, and data