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position will be placed in the ISOVIS group (http://cs.lnu.se/isovis/ ), led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large
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Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and analysis of large-scale 2D/3D scientific data
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of the project is to develop modular, interoperable R packages that can be integrated with new user-friendly visual data processing applications for metabolomics data analyses in life-sciences, which can be used
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to the processing and analysis of data from the test phases. • Ensure implementation in compliance with ethical standards, IT security, and data confidentiality. • Contribute to documentation, project reports, and
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(fMRI), and eye-tracking measurements (main task) – Data analysis (main task) – Interpretation of results (main task) – Dissemination of findings through the writing of scientific articles (main task
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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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data visualizations using common libraries like D3.js, ggplot, or vega, as well as expertise in languages and libraries for data analysis such as R or Python. Lastly, candidates should have experience