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Field
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Description This PhD project focuses on provision of high quality treated water for green hydrogen (GH2) production. During GH2 production, contamination of feed water by trace concentrations of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly...
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Immunology headed by Prof. Christina Zielinski. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong local, national and
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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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of drought mortality in mature temperate forest trees. The position (36 months, funded by the German Research Foundation) is embedded in a long-term drought study, the Kranzberg Forest Roof Project (KROOF
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at the development of living drug delivery devices. Within this consortium, synthetic biologists, materials scientists, microbiologists, and clinicians are working together in interdisciplinary projects. The position
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
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on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban environments shall be performed. Subsequently weather-and turbulence-related limit values shall be formulated
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Leibniz Institute of Plant Biochemistry (IPB) in Halle (Saale), Germany, where we are offering a fully-funded PhD position within the DFG Priority Programme SPP2363: “Molecular Machine Learning”. About the