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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 22 hours ago
in security law are frequently of heightened relevance, our research analyzes contemporary legal, technical, and social developments — internationalization, digitization, and fragmentation — along with
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sources preserving inlfuences from ‘local’/‘folk’ cults, brahmanical/elite appropriation of non-brahmanical cults/gods/goddesses, etc. Writing articles/book chapters based on the abovementioned research
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investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
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study pre-PhD. Development, teaching, and operation (40%) Contribute to our extensive portfolio of tasks linked to the ongoing digital transformation of the degree programs at Aarhus University
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high-value polymers from complex waste streams such as multilayer packaging and mixed plastic waste, leading to large volumes being incinerated or landfilled. Solvent based recycling offers a promising
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research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https://www.mn.uio.no/geo/english/research/groups/remotesensing ). We are a growing, lively
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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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, or computational analysis of clinically annotated cancer datasets. Experience with multi-omics data integration, including DNA sequencing, bulk and single-cell RNA sequencing, spatial transcriptomics, methylation
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to develop the mathematical foundations for next-generation Digital Twins: computational representations of physical systems that preserve geometric structure, physical consistency, and mathematical invariants