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Field
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Agricultural Sciences, Soil Science, Bioinformatics, Biostatistics or related disciplines Demonstrated expertise in machine learning and strong background in microbiome profiling Fluency in written and spoken
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization
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, intravital live imaging, bioinformatics are especially encouraged to apply. The Rinkevich lab investigates fundamental mechanisms of tissue regeneration, wound repair, and stem cell lineage behavior. Our
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-of-the-art technology core facilities spanning transgenic animal resources, proteomics, imaging, biophysics, chemical biology, bioengineering, bioinformatics, AI-enabled research capabilities, and other
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maintenance units, the CIC has a number of specialized technical facilities for Diagnostic Molecular Pathology, Genomics & Proteomics, Bioinformatics, Flow Cytometry, Advanced Microscopy, Structural Biology and
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cell culture, molecular biology (particularly proteomic techniques), or bioinformatics and molecular data analysis is a strong advantage. Hands-on experience in data analysis and related software (R
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Bioinformatics and computational biology Applications from distinguished individuals specializing in other subfields of bioscience, bioengineering, and biomedical engineering will also be actively considered
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techniques: PCR qPCR Sanger sequencing and sequence bioinformatics analysis Extraction of nucleic acids and peripheral blood plasma Exome filtering Scoring: 10 points per year of experience, up to a maximum of
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Science, Statistics, Bioinformatics, Engineering, Computer Science, or related areas. Strong background in statistics, data science, and machine learning. High programming skills, particularly in R. Basic
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basic bioinformatic analysis (e.g. R, Seurat for single-cell RNA-seq) is a plus, together with willingness to develop these skills further. • A proven track record of peer-reviewed publications