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University of Darmstadt seeks candidates at the earliest possible date for two Professorships for Algorithmic Graph Theory and Logic. The positions are limited to a period of six years and come without
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(though not mandatory) if you have prior knowledge in ontologies, knowledge graphs, and/or robotics. You have demonstrated your excellent skills by outstanding grades during your bachelor's and master's
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modeling (in particular coastal research and climate research) are potentially of interest. Your profile You should have a master's degree and PhD degree in computational engineering, applied mathematics
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3 Jul 2026 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Other Computer science » Other Researcher Profile First Stage Researcher (R1) Positions PhD
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Multidimensional Omics Data Analysis: PhD Candidate (m/f/d) You will be responsible for Setting up a knowledge graph in neo4J for microbiome research Integration of microbiome research data
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for Interdisciplinary Digital Sciences (CIDS), the Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student (m/f/x) (subject to
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Campus (LLEC). Development of physics-informed and graph-based machine learning methods for energy system monitoring, forecasting, and planning Data analysis considering uncertainties, missing data
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inflammation. We offer a competitive group leader salary and appointment for 5 years, funding for two PhD students, and running costs. Co-affiliation with Goethe University Frankfurt will be considered
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
documents, for example from the Prize Papers project; the creation of knowledge graphs using language models; and the automated analysis of knowledge graphs using methods from network science and cultural
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to existing data storage layers and infrastructure Semantic Web & Knowledge Graphs: Develop and optimize graph databases, ontologies, and semantic models (e.g., using RDF, OWL, CIDOC-CRM) to interconnect