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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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multiple disciplinary approaches inclusive of SELEX technologies, bioinformatics, molecular and cell biology, molecular design, DNA nanotechnology, organic synthesis, immunology, and preclinical studies in
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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities
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interested in working at the boundaries of several research domains Master's degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline
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differences in ecologically and economically relevant life history traits are regulated at the molecular level. Variation in a key Atlantic salmon life history trait, maturity age, is strongly influenced by
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strong core facilities that offer state-of-the-art equipment and training in protein production, microscopy, proteomics, cytometry, genomics and bioinformatics. Activities and responsibilities R-loops
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and outside the project. Required educational backgroud A MSc degree in technical medicine, bioengineering, biomedical science, immunology, biotechnology, (bio)analytical chemisty, bioinformatics
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novel as well as state-of-the-art methods to map and functionally characterize RNA structure ensembles under different cellular conditions. Explore the therapeutic potential of targeting RNA structure
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: Developmental biology; Molecular cell biology; Genomics; Bioinformatics. Education and experience in one or more of the following areas is required: bioinformatics; genomics; molecular developmental biology
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utilizing human cell cultures (2D and organoids), advanced fluorescent imaging, live imaging, FACS, RNAseq + bioinformatic analysis, Click-IT technology, RT-qPCR, Western Blot, and possibly animal experiments