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across complex, multimodal datasets. By integrating established ontologies such as EMMO with graph databases (Neo4j), this project aims to elevate data interoperability and foster collaborative, FAIR data
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structures are complex superstructures composed of different nanoparticles, similar to how atoms are linked to molecules. This results in innovative, exceptionally promising optical and electronic properties
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are complex superstructures composed of different nanoparticles, similar to how atoms are linked to molecules. This results in innovative, exceptionally promising optical and electronic properties that go far
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are complex superstructures composed of different nanoparticles, similar to how atoms are linked to molecules. This results in innovative, exceptionally promising optical and electronic properties that go far
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structures are complex superstructures composed of different nanoparticles, similar to how atoms are linked to molecules. This results in innovative, exceptionally promising optical and electronic properties
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and theses Your Profile: You have successfully completed your studies in economics, (business) engineering, natural sciences, or a comparable degree program You are enthusiastic about complex
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signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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to simulate and control the dynamics for increasing system complexities implement and optimize the relevant quantum circuits on atomic and superconducting processors cooperate and actively work with
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Generation (RAG)—to automate data ingestion and semantic enrichment across complex, multimodal datasets. By integrating established ontologies such as EMMO with graph databases (Neo4j), this project aims