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Field
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the
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at the plant scale (RootMucilage)" funded by the German Research Foundation (DFG). In collaboration with the Technical University of Munich, the University of Tübingen and the RPTU University Kaiserslautern
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remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
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samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
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on high-resolution cryo-electron microscopy to determine the structures of lipidic alpha-synuclein (αSyn) amyloid fibrils. The aggregation of αSyn as well as its interaction with lipid membranes play a key
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stimulating research environment within the DZNE, the SyNergy Cluster, with access to advanced imaging platforms, single-cell and spatial multiomics pipelines, high-performance computing, and close interaction
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command of written and spoken English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), German is a plus Our Offer: We work on the very latest issues that impact our
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 4 days ago
, researchers from the fields of biology, chemistry, physics, and medicine collaborate across disciplines, supported by high-performance service facilities and a modern research infrastructure. As the largest
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research on high-performance ceramics and represents Europe‘s largest R&D institute dedicated to the study of ceramics. Furthermore, the institute has expertise in diagnostics and testing of materials and
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using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group