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genome and transcriptome sequence analyses with metabolomics to investigate natural product syntheses in bacteria. Our aims are the discovery of novel antimicrobial compounds and the specific induction and
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Association. The institute is equipped with state-of-the art instruments for microbiological, chemical, and molecular work including an own next-generation sequencing, metabolomics, and bioinformatics core
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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of crossing protocols for hybridization. Cytogenetic analysis of Bulbosum and barley. Generate and analyze whole genome sequencing data. Analysis, publication, and presentation of research results. Become a
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text analysis and (semi-)automatic labeling, e.g., text/segment classification, sequence labeling, span-based labeling, information extraction (NER/relations, if relevant for coding), transformer
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(DNA extraction, DNA quality check) Bioinformatic processing and analysis of next-generation sequencing data GIS-based landscape analysis Statistical modelling of the relationship between genetic
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of macroalgae spores and zygotes in order to enable a controlled generation sequence and stable establishment of new algae populations. In the frame of the Project “REKUMAQ”, the Working Group Experimental
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and invertebrates interact with each other and respond to multiple stressors are of particular interest. The successful candidate is expected to combine experiments and field observations to allow
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: Develop and complete a doctoral dissertation aligned with work package 1 objectives Requirements: Master’s degree or PhD in Oceanography, Climate Science, Physics, Biogeochemistry, Earth System Science or a
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biology, with huge potential for sustainable innovation in different technological fields. The multidisciplinary component of our research requires intensive information and data exchange between multiple