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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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across diverse scientific data modalities such as structured databases, ontologies, and unstructured text. The goal is to enable automated hypothesis generation and obtain scientific insights, with
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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networks, and study data from both mice and human patients to better understand normal cognition as well as the pathomechanisms of neurodegenerative dementias, including Alzheimer’s and Parkinson’s disease
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graph. Skills Technical skills: knowledge graphs, semantics web, Linked Data, LLMs, ChatBot Programming: Python, RDF, SPARQL. Relational skills: Ability to work in an interdisciplinary and international
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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been linked to these diseases for decades. This project aims to establish human autoantibody clones from various autoimmune diseases, with a primary focus on Systemic Sclerosis. This is with the purpose
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at DTU here . Further information Further information may be obtained from Professor Peter Bøggild, DTU Physics (pbog@dtu.dk) or Assistant Professor Bjarke Sørensen Jessen (bsoje@dtu.dk). You can read more
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following articles published over the past four years for additional information: Cell 187:205 (2024); Nature 624:154 (2023); Nature 620:200 (2023); Nature 623:1034 (2023); Nature Reviews Immunology
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with expertise in the acquisition and analysis of human MEG +/- OPM-MEG data to study brain function and cognition in children and young people as part of a Wellcome-funded project. The post-holder will