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(generative models, real-time dashboards). Data analysis and geospatial tools (QGIS, ArcGIS, remote sensing). Visualization and communication tools (Adobe Creative Suite, Blender). Language & other skills
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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A post-doctoral position funded by the Wellcome is available in the laboratory of Leon Lagnado to study the flow of information controlling visually-driven behaviour. Fluorescent reporters
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of Psychology at the University of Sheffield. The study employs an innovative experience-sampling research method, investigating the relationship between intra- and interindividual variation in visual working
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-versa. Digital Humanities methods can broadly consist of familiarity with skills like coding, data scraping, archiving, data visualization, relational databases, or digital storytelling, but may not be
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cloud data and 2D floor plans to assess spatial and visual properties of EDs, ensuring data accuracy through ground-truthing. Apply cluster analysis and statistical methods to classify EDs into spatial
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and with expertise spanning knowledge graphs, GeoAI, research data management, geo-semantics, geographic information retrieval, geo-visualization, social sensing, and related fields. We are interested
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academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: Your future position will be in the Visualization and Data Analysis research group
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opportunity to carry out research that explores how spontaneous strategy use in visual working memory varies over time among older and younger adults in the context of everyday life. This study is part of
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision