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our team and join us on a journey of research and innovation! For our D3Companion project, we are looking for a working student as 3D Web Developer. In collaboration with the start-up D3Companion, we
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posts Starting date: 30.10.2025 Job description:Data scientist for geoscientific data analysis and web tool development Job ID: 886 Location: Geesthacht Application deadline: 26.11.2025 The Coastal and
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are looking for support in the development of a web application. Become a part of our team and join us on our journey of research and innovation! What you will do Development and further development of a full
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analysis and web tool development Job ID: 886 Location: Geesthacht Application deadline: 26.11.2025 The Coastal and Climate Office for Northern Germany at the Institute of Coastal Systems ? Analysis and
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tool development, starting as soon as possible, for a limited period until 30. November 2027. This full-time position (39 hours/week) is also open for part-time work. The position is affiliated with
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Your Job: Help us further develop the dynamic Jupyter4NFDI web frontend and contribute your own ideas and suggestions for continuously improving the user experience Develop new components
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Developing and applying computational methods to extract, classify and integrate content-related features (e.g., from HTML, URLs, metadata) with digital behavioral data (from web tracking) Analyzing patterns
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-related IT projects). Experience in software development in the environment of web-based applications (Java, JavaScript). Knowledge of semantic web/linked data technologies (RDF, SPARQL) and metadata
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 17 days ago
original research on data quality in either digital behavioral data (e.g., data from online platforms, web tracking, smartphone apps) or survey data, including the use of AI methods to assess data quality
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam