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will apply statistical methods for the combined analysis of the obtained data with the aim to retrieve information about both local coordination and chemical composition in these materials
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to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science converge
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the era of large population size and dense genomic data such as whole-genome sequencing, new algorithms are needed to remove the bottleneck of computational load for such a development. In the frame of a
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methods, which occur with aging and lead to altered long-range and local synaptic function and subsequent aberrant network excitability along with associated memory deficits. Specifically, the candidate
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Chemical Engineering. Profound knowledge of materials synthesis and their characterization using spectroscopic and microscopic methods is required. Experience in membrane separation and vacuum apparatus is
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science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
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management, geography, environmental psychology, or a related field Knowledge of qualitative and/or quantitative social science methods Strong interest in inter- and transdisciplinary research as well as in
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries
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Germany. It maintains close cooperative relations with various partners in Germany and abroad. We offer a structured doctoral training program, manifold activities, exciting research topics, a highly
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will be given the opportunity to develop a doctoral thesis with extensive support through the CBBS graduate program (https://cbbsgp.med.ovgu.de ). Your profile: MSc in Neuroscience, Biology, Biomedical