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Postdocs in Data-Driven Product Realization Reference number REF 2026-0393 Join us for an exciting postdoctoral position to shape the future of data-driven product realisation in close collaboration
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Are you interested in data-driven modelling and optimisation of District Heating Systems and can you contribute to the development of our Villum Synergy project, “ Recycling waste heat: Graph-based
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overall objective of developing robust and deployable physics-driven machine learning solutions for TEM data. In addition to the colleagues at Department of Electrical and Computer Engineering, you
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interfaces and defects. This research will combine electronic structure methods, artificial intelligence, and data-driven techniques to understand and engineer novel materials for next-generation
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Researchers in AI-driven atomistic modeling and AI-accelerated cheminformatics to join the Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc in Experimental Optical Materials Discovery – DTU
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Job Description DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in experimental nanophotonics and optical materials discovery. The goal is to identify
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algorithms and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure
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18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher in Data-driven X-ray Nanoimaging for Semiconductor Metrology
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PhD / Postdoc position | AI-Driven Molecular Modeling for Atmospheric Organic Reactions and Multiphase/Interfacial Chemistry Young Researchers Mainz Chemistry Earth Sciences and Climate Research Job