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Field
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integration, metadata harmonization, preprocessing, and quality control of large public sequencing datasets Implement and benchmark machine-learning models for predicting biological and ecological metadata from
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committed to fostering a collaborative and innovative research environment and works with large-scale imaging and sequencing datasets. We offer a 2-year postdoctoral position with system administration
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | about 1 month ago
virtual-reality experiments with insects, development of new models of neural or embodied dynamics, comparative analyses across species, or novel methodological approaches aligned with the central questions
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Conduct essential laboratory work (e.g. DNA extraction, sample QC, basic library preparation) Assemble and annotate high-quality genomes of polychaete species using state-of-the-art sequencing technologies
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. You will help establish and compare different screening methods for their suitability, including assays based on FACS or magnetic sorting, growth-based selection, and next-generation sequencing. You
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multiple methodologies in mechanical and thermal characterization and provide a professional service to INM scientists including training, advice and guidance for their scientific work. This includes
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 22 hours ago
conceived research proposals that align with IOER’s research. The programme aims to equip PhD candidates with the knowledge and skills necessary to successfully complete a doctoral dissertation, which may be
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biology techniques such as qPCR and bulk and single-cell sequencing. Our work supports the testing and development of drugs targeting novel immunological pathways. The overarching goal of our research is to
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candidate will have access to state-of-the-art next-generation sequencing platforms, bioinformatics resources, and biosafety level 2 laboratory facilities, offering excellent conditions for doctoral training
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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