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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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if the candidate is expected to have a keen interest in digital history, other team members will do the advanced computational analyses in collaboration with the rest of the team’s domain experts
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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projects. Specifically, the candidate will work with the identification and quantification of the origins of plastic pollution in the Arctic and its distribution in marine ecosystems. The project will be
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experience in all these areas is not required, candidates should demonstrate their capacity to undertake quantitative and computational research to address questions about epidemiological dynamics. A knowledge
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: Synchrotron experiments (XRD, PDF, EXAFS) Cryogenic electron microscopy (cryo-EM) Pair angle distribution function (PADF) analysis Time-resolved studies of structural changes Crystallography Electron scattering
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distinctive moral reasons to be concerned with extreme wealth from the perspective of distributive justice, (2) to analyze the role of individual responsibility in a theory of extreme wealth morality, and (3
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Postdoc position in Materials Characterization for Additive/Subtractive Manufacturing and Sustain...
of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical
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of materials science, tribology, surface integrity, and durability of engineering components. Our research spans experimental and computational approaches to understand how materials perform under mechanical