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mapping to clinical data models and ontologies e.g. OMOP CDM, SNOMED CT, FHIR Contributing to interoperable and FAIR-compliant data infrastructures that enable secure data sharing, reuse, and AI-driven
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awareness (SA), like our work on Situational Graphs (S-Graphs), improve on existing techniques by combining 3D environmental maps with detailed knowledge about objects into a single, optimized model. First
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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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leading to societal and economic benefits. The following project is offered at the University of Münster: Mapping and quantification of collagenase activity in protease-damaged tissue; Subject area
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qualifications. Possible topics are: The theory of ultrafast pump-probe experiments (e.g., time-resolved X-ray scattering and spectroscopy), simulations and data processing of actual ultrafast experiments, mapping
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ELEGANCE website: https://elegance.dtu.dk/ Google Scholar profile: https://scholar.google.com/citations?hl=en&user=yZDS88IAAAAJ More information about DTU Biosustain: www.biosustain.dtu.dk CPE group: https