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: (depending on previous eligible experience) at least: € 4.932,90 (payable 14 times per year) Responsibilities Scientific research in bioinformatics, genomics, and evolution of crop plants and their wild
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a
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of extension up to three years depending on performance. This position offers an exciting opportunity to join a multidisciplinary and collaborative research environment combining genomics, bioinformatics, aging
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imaging. A successful postdoctoral candidate should have a Ph.D. in the relevant field with a strong background in LC-MS/MS. Some bioinformatics expertise is preferred but not required. More details about
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. Qualifications: PhD in Molecular Biology, Biomedicine, Human Physiology, Computational Systems Biology or similar fields. Proven expertise in LC/MS based metabolomics and/or bioinformatic analyses of complex omics
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in Unix/Linux environments - Experience with bioinformatics pipelines for DNA sequencing data analysis (e.g., variant calling, quality control, data processing) Strong track record as evidenced by one
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research consortium to study brain wiring that includes. : We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning
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employ cutting-edge single-cell and spatial omics technologies with bioinformatics and machine learning to decipher principles of gene regulation underlying cell identity and its disruption in human
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, fluorescence microscopy and/or bioinformatics experience in the development and supervision of scientific projects We offer: a dynamic international research environment in one of the centers of microbiological