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application. Information on the protection of your personal data can be found at https://leibniz-ifl.de/en/functions/data-protection-job-advertisement The IfL advocates professional equality for all genders
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and collaboration in low-and-middle-income countries and good knowledge of R or other software for data management, analysis and visualization. The position does not require teaching, but it may be
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publications. Proficiency with statistical analysis and data visualization. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining
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experience in designing and implementing interactive 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
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, thereby enabling the project's results to be implemented as widely as possible.. 2. Content-enriched digital archival representation. The data extracted from the content analysis will be used to enrich
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given to candidates with expertise and experience with large language models (programming, benchmarking, human-centered evaluation), strong data science / computational modeling / statistical analysis
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
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on SWITCH Lab alumni can be found here . Starting Date: as soon as possible How to apply? For more information contact hannah.wilkinson@kuleuven.be. Please complete the online application procedure (https
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; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
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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