588 structural-engineering "https:" "https:" "https:" "https:" Postdoctoral research jobs
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of metabolic diversification and metabolic engineering for food and health applications. The role: The successful candidate will investigate the diversity and structure-function relationships of one or more key
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Engineering, Physics, rezekboh@fel.cvut.cz https://scholar.google.cz/citations?user=mb1IXcUAAAAJ 10.1088/2515-7655/add59f 10.1039/D3NA00205E 10.1016/j.solmat.2022.111984 ORCID 0000-0002-0378-4598 H-index (WOS
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of Engineering, and affiliated institutions Mentoring team structure to provide multi-dimensional guidance Regular one-on-one meetings and research advisory support Professional Development: Comprehensive training
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI system will organize and synthesize disparate datasets
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will participate in the construction and
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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-post-doc-raw-materials-lca-for-the… Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent Skills/Qualifications
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University of Science and Technology (KAUST)CountrySaudi ArabiaGeofield Contact State/Province Saudi Arabia City Thuwal, Makkah Website https://pse.kaust.edu.sa Street KAUST Campus Postal Code 23955-6900
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. - Structural and biochemical characterization of DNA origami using TEM, AFM, Cryo-EM, gel electrophoresis, and fluorescence-based assays. - Engineering of dynamic and stimuli-responsive DNA origami nano-machines
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recognized program known for cutting-edge research and strong industry partnerships. With leading expertise across advanced construction materials, structural engineering, transportation and water resources
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for structural analysis of metabolites and lipids, creating metabolomics knowledge graphs, and inferring fluxes from MS data. The group collaborates with mass spectrometry vendors and technology partners