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Field
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productivity, inequality, and growth. Within this framework, the postdoc will work on complex analysis of large-scale company datasets, ownership networks, political-business networks, and matched data
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months agofor a networked research and innovation landscape. The focus of this work is on designing semantic knowledge models for digital materials research at the intersection of materials science and knowledge
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the Department of Internal Medicine; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab focusing on Lung fibrosis, senescence, and wound repair; collects and
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response. Design, execute, analyze, and interpret complex laboratory experiments while maintaining accurate and comprehensive research records. Establish and maintain patient-derived cancer organoid cultures
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engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
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isolate disease-specific regions and uncover localised niches of inflammation. Additionally, you will characterise complex ligand-receptor interactions, with a specific focus on dissecting the crosstalk
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, molecular assemblies, intrinsically disordered proteins, biomolecular condensates, cellular organization, biological networks, molecular evolution, or systems-level biophysical phenomena. The scholar’s
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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science focussed: Newly created processes for T Level placements at Durham University and industry partners Resources and networks created between the project and Further Education college curriculum leads
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens