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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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solutions. Manage a multidisciplinary research team, including post docs, PhD students and Msc students. Supervise and guide the team’s research projects related to novel protein and cell factory development
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into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
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for the Fraunhofer-Bessel Research Award. As soon as we receive all the necessary documents, we will confirm receipt of the nomination by e-mail and initiate the review process. All information will of course be
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. Bioinformatics: Apply basic bioinformatics tools, including statistical analyses of results, RNA-seq and mass spectrometry data analysis. Data & Publication: Analyze data and generate figures for publication in
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? To what extent can variations be explained by gendered peer cultures? Are some students more susceptible to the gendered peer culture in school than others? You will answer these questions by analysing
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phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be determined depending on the specialization chosen by the candidate
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of chemical data. Key Responsibilities: Utilise high data-density reaction/bioanalysis techniques, including high-throughput experimentation, to inform and enhance drug optimisation. Employ machine learning
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 21 hours ago
Degree Doctoral degree: Doktoringenieur (Dr-Ing), Doctor rerum naturalium (Dr rer nat), Doctor of philosophy (Dr phil), or Doctor rerum politicarum (Dr rer pol) Doctoral degree or degree awarded by
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of chemical data. Key Responsibilities: Utilise high data-density reaction/bioanalysis techniques, including high-throughput experimentation, to inform and enhance drug optimisation. Employ machine learning