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Job Description We are seeking an ambitious and dedicated researcher for a 2-year postdoctoral position in the field of microbial metabolism and experimental animal models for cardiometabolic
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forest systems.The position offers the opportunity to work across scales and methods, integrating quantitative risk modelling with empirical field data and applied demonstrations to support climate
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage
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colloidal routes, enabling precise control over size, morphology, composition, and structural complexity. This role offers an unparalleled opportunity to lead the computational core of a cutting-edge
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volcanic sequences and reconstruct a model of its volcanic plumbing system architecture. You will collect mineral texture and composition data using a range of geochemical methods including SEM, EPMA and LA
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gas compositions. They will apply and develop models to account for the observed gas distribution in the context of East African Rift geological system. The postholder will also be responsible
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 2 hours ago
system design/operation are preferred. Candidates with interest in linking water vapor and or methane observations to modeling activities are also encouraged to apply. Field of Science: Earth Science
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High-pressure XPS measurements may also be envisioned for most promising catalysts. Similarly, are we collaborating with CatTheory on predicting reaction pathways and microkinetic modelling screening
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong
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hold a PhD in oceanography, marine ecology, computer sciences, data sciences or similar. We expect that you have: Expert knowledge on network modelling, especially aimed at ecological applications Strong