SPARQL Jobs in Germany

In this position, you will develop semantic resources and knowledge engineering approaches for materials science by extracting and structuring scientific knowledge from unstructured sources.

In this role, you will develop innovative solutions for research data management, create comprehensive documentation, and work on projects to optimize data collection and interoperability.

In this role, you will develop software tools for data management and enrichment, work on various projects, optimize existing code, and document results for conferences and public dissemination.

In this role, you will develop innovative graph-based applications, design semantic models, and lead delivery teams while working with Python and various graph databases to implement customer solutions.

In this role, you will develop tools for user-friendly editing of knowledge graphs, conduct literature reviews, and prototype innovative UI/UX concepts focusing on rights management and usability.

In this role, you design and integrate graph technologies into solution architectures, develop graph-based products, and advise clients on data-driven insights and applications.

In this role, you will develop a knowledge base for aerospace engineering, create user interfaces, integrate with external data sources, and establish security protocols and CI/CD pipelines.

In this role, you will develop graph-based solutions in interdisciplinary teams, model semantic frameworks, and advise clients on data products using Python and graph technologies.

In this role, you develop graph-based end-to-end products, design semantic models, and integrate graph technologies into solutions, supported by your expertise in Python and graph databases.

In this role, you will develop extensive Knowledge Graphs across various SAP domains, integrate them into Generative AI applications, and advise stakeholders on the optimal use of these technologies.

In this role, you will develop modern AI solutions, work on prototypes, optimize models, and support the implementation of GenAI and NLP technologies in demanding projects.

In this role, you will develop a service for bibliographic metadata management and oversee the integration and maintenance of data in a VIVO-based knowledge graph for digital humanities research.