190 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" Postdoctoral positions in United States
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efficiency and reduce environmental impact. Apply insights from mineral characterization to understand structure-reactivity relationships and guide process optimization. Contribute to data interpretation
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of Professor Douglas Wolfe (Materials Science & Engineering). Job Duties: Design, develop, and conduct manufacturing experiments for a wide range of materials comprised of CsPbB3, nanocomosite structures
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to nucleic acid and protein assays, neuronal imaging, synaptic structure analysis, and advanced histological or biochemical workflows. Implement new methodological approaches that enhance the laboratory’s
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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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. Virginia Tech researchers have developed a CLT structural analysis methodologies, predicted strength properties for new species and configurations, in addition to investigating the use of hardwood in CLT
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of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
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models for composites of arbitrary structures to predict their homogenized properties. The candidate will also work closely with AI experts to develop workflows for composite structure discovery given
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
recombinant Marek's disease virus vaccines to prevent both Marek's disease and other poultry diseases. The project involves the construction of recombinant vaccines using molecularly cloned Marek's disease
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December 30, 2025. Two or more years of research experience in the following areas ● Drug development. ● Pharmacokinetics and Pharmacodynamics. ● Protein structure analysis. Preferred
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understanding of reaction kinetics, thermodynamics, and structure-reactivity relationships in catalytic systems. •Demonstrated experience with agentic AI, including automated data curation, ML model integration