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the computer infrastructure for real-time data processing together with the project team. What you bring to the table You are studying a technical degree You have good written and spoken German or English skills
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technical expertise, coordinate collaborative workflows, and contribute to data analysis and project development. The position is to be filled by 01.03.2026 or 01.04.2026. Your tasks You will work with lung
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As the German National Library of Science and Technology our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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. On the frontend, we use Preact with TypeScript, along with an OpenGL renderer written in C++. On the backend, a server written in Python is used to handle tasks related to serving data, metadata, and authentication
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analyzers, spatial/imaging coming in now) Consult users in experimental design and data interpretation Train users for independent equipment and software usage Liaise with external customers and service
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for 3D reconstruction and scene understanding Analyzing and preprocessing various data types (3D point clouds, images, depth maps, etc.) Reviewing the latest literature on 3D Gaussian Splatting, NeRF, and
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skills, and confidence in using computer applications. We require enthusiasm and excitement for our topics. What we offer We are committed to creating an inspiring working environment in which all
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, sustainability and user needs. Working digitally and sustainably: You will use Building Information Management (BIM) with CAFM integration, deliver structured and reliable data, take life cycle costs into account
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these results with complementary techniques such as TEM or SEM Data Analysis and Interpretation: analyze experimental data using appropriate methods and software interpret the results in the context of refining
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial