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Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 27 days ago
modelling Proven skills in Fortran, Python or a similar programming language Skills in the processing, statistical analysis and visualization of data Very good English knowledge (approximately equivalent to
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beyond basic scripts (numerical methods, data analysis pipelines, visualization) Fit in state of the art AI usage We are not looking for a narrow specialist. We are looking for someone who learns quickly
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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: Excluded Job Description: Summary: Serve as the editor for Adventure Scientists’ documentary package highlighting the Hemlock census project, ensuring a compelling and visually polished final product
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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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of Alabama and beyond. The successful candidate will apply tools including (but not limited to) Data Acquisitions, Data Mining, Data Visualization, Machine Learning, Statistics, Optimization and Simulation in
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). Perform or assist with analyses such as GWAS (e.g., GAPIT or R-based workflows), population structure (PCA), kinship, and visualization, QTL mapping / QTL-seq / QTL-seq-like pipelines (variant filtering
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We are seeking an ambitious and highly motivated Research Fellow in Computer Vision to contribute to an EPSRC-funded project, LungSight, focused on visual and acoustic screening for early detection