69 parallel-computing-numerical-methods-"https:" Postdoctoral positions at Nature Careers in Denmark
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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and technical-administrative staff and you have a flair for establishing collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is
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methods Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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provides excellent opportunities to explore the intersections between these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application
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components of Land-CRAFT. We have a team of researchers working at field, farm and landscape scales. The postdoctoral researcher specializing in wetland biogeochemistry will use advanced biogeochemical methods
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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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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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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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will