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-related traits, and heterosis. In 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
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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algorithms for microscopy image analysis problems (primarily 2D timelapse data), which are driven by real applications in life science research Develop solutions to integrate large foundation models
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-berlin.de . Given the approval of funding the Leibniz-Institut für Kristallzüchtung is currently looking for a PhD student (f/m/d) for the topic: “Investigation of defect evolution causing optical degradation
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In the Leibniz Institute of Plant Biochemistry, the research group of Dr. Clemence Marchal invites applications for a PhD position in biology (m/f/d) Salary group E13 TV-L, 65%, limited for 4 years
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of large data sets Familiarity with genome quality assessment, contamination screening, and troubleshooting of sequencing datasets Familiarity with phylogenomic pipelines and comparative genomics workflows
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic