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leverage state-of-the-art high-throughput sequencing for the study of somatic evolution. Other ongoing projects involve organoid model development, transcriptomics, genomics, and image analysis. We have
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of the probes: determination of binding parameters via jump-dilution assays, progress curve analysis, eventually combined with grating-coupled interferometry. Synthesis of optimized probes: Preparation of further
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criteria You have hands on experience with TIMS-TOF data acquisition and data analysis in an immunopeptidomics workflow. What we offer The planned start date is 1st May 2025 or as soon as possible after
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strong bioinformatics expertise and knowledge in programming languages and transcriptomic/multi-omic data analysis to help us unravel the complex interaction of cancer cells and their environments
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via macromolecular X-ray crystallography. Kinetic characterization of the probes: determination of binding parameters via jump-dilution assays, progress curve analysis, eventually combined with grating
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our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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analysis of SC units, fostering consistency in research and practical application (similar to the tools developed for accuracy here ). Join us in reshaping SC research to ensure its relevance, usability, and
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computing clusters and analysis of transcriptomics and genomics datasets. Desirable Requirements Experience in single-cell and spatial OMICS data analysis. Development of ShinyApps and
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analysis software, such as MZmine Programming skills in R Hands-on experience with untargeted high-resolution mass spectrometers Key personal characteristics Willingness to participate in interdisciplinary
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perturbation approaches have solid knowledge of and experience in single-cell data analysis and multimodal data integration have strong knowledge of gene regulatory mechanisms have basic/intermediate programming