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of post PhD research experience Preferred qualifications PhD or equivalent international degree in Computation Data, Computer Sciences, Bioinformatics or Related field Demonstrated record of productivity
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for small-RNA sequencing Bioinformatics analysis of small RNA sequencing data Preparing EVs for in-vitro labelling and uptake experiments High-content imaging of cellular morphology and immunochemistry
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Agriculture and Community Food Systems; General Biology; Ecology and Evolutionary Biology; Genetics, Genomics, and Bioinformatics; Physiology and Behavior; Plant Biology. Deadline to Apply 08/20/2025 Our
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is aimed at a candidate with experience in wet lab and in bioinformatic analysis. We offer ample opportunities for professional development and specialization across various areas of work, in alignment
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 24 days ago
statistics Bioinformatics skills and coding (e.g. R and Python) Experience in working in a mass spectrometry facility Knowledge of liquid handling automation Experience in Lipidomics and Crosslinking-MS We
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provide bioinformatics analysis software and high-performance computing services to the life sciences research community, including widely used analysis pipelines. We are seeking a Web Application
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. The ideal applicant will have had experience with cell culture of T cells, flow cytometry, microscopy, gene editing, and animal models of cancer. Experience with bioinformatics and using R or Python would
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. Experiments involve bioinformatics, state of the art bacterial genetics/genomics, cell culture, and mouse models of infection. Standard operating procedures (SOPs) for these assays models will be developed and
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complements areas such as drug discovery, disease pharmacology, bioinformatics, or computational biochemistry. However, we encourage applications with research programs across the biochemistry spectrum
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science, biology, and statistics to tackle complex biological questions. Their work spans diverse areas including genomics, bioinformatics, systems biology, and computational neuroscience, driving innovation