308 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Nature Careers
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extensive use of surface science methods and also includes the most advanced methods of microscopy through its collaboration with VISION. Visiting large scale facilities such as synchrotrons for EXAFS and
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postdoctoral fellows to conduct interdisciplinary research on the interactions between fungal pathogens and microbial ecosystems within the Fellows4Fungi programme at the Leibniz-HKI (Jena, Germany
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Three-Year Postdoctoral Position: Role of Extracellular Nucleic Acids in Interspecies Communicati...
signaling and communication in multicellular aggregates. Use electrochemical and analytical methods to probe RNA-mediated processes. Publish and present results at international meetings Your profile: We seek
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to independently design, execute, and troubleshoot experiments Strong computational skills for processing complex cryo-EM datasets Enthusiasm and demonstrated ability to rapidly learn new techniques Prior training
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A postdoctoral fellow position is available at the Icahn School of Medicine at Mount Sinai, New York, at the laboratory of Dr. Eirini Papapetrou https://labs.icahn.mssm.edu/papapetroulab/ and the
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April 1st 2026 or by agreement. For more details about the position and the application procedure see: https://www.umu.se/en/work-with-us/open-positions/postdoctor-2-years-in-organic-electronics-with
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status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and
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measurements as well as highest spatial and density resolution. Additionally, the highly coherent beam enables the application of phase contrast methods with a spatial resolution below 50 nm. Join the Cluster
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society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing