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materials to advance the potential of biopolymers in various applications. Project description Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as
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glyphosate mineralization rates (Wilms et al., 2023). The PhD project will identify glyphosate-based surfactant impacts on microorganisms from freshwater sediments, e.g., rivers or ponds, that are capable
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://steglelab.org ). The project is executed in collaboration with the main partner of the TARGET-AI project at Helmholtz Munich, as well as supporting groups at the University of California, Berkeley and the German
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part-time with 67 %. Your key tasks Fabrication and characterization of porous materials. Developing new methodologies in the field of nanofluidics. Design and implementation of nanofluidic experiments
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 5 days ago
of computational load for such a development. In the frame of a third party funded research project, we are looking for a PhD Student to work on and develop breeding strategies to mine Winter-wheat accessions stored
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research on the effects of different forest management regimes on the protective function of forest ecosystems. The work is embedded in a collaborative project coordinated at the Technical University
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. Description of the PhD topic (project C5) Project C5 in the CRC is concerned with the multimodal macroscopic fundamental diagram (MFD) that represents network-wide traffic states in an urban road network
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of scalable 2D materials. The open positions are allocated to the projects P6 and P7 (see https://2d-mature.org/project-descriptions/ ) Start: fall 2025 Duration: 3.5 years Working time: 100 percent of a full
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Synthetic Biology is looking for a Doctoral Researcher (F/M/D) with experience in biology, protein biochemistry, and/or microbiology. The project will focus on the development of safety-by-design strategies
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge