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, cutting-edge DNA and genomic techniques, powerful bioinformatics tools and robust statistics to enable a truly holistic approach for addressing fundamental questions about the distribution and magnitude
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collaborative and social abilities. Prior experience with metabolomics, transcriptomics, bioinformatics, and imaging is a plus. For more information, please feel free to contact Per Svenningsen at psvenningsen
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on or as soon possible, with possibilities to extend for another two years. Job description You should be experienced in biochemistry, tissue proteomics, and protein bioinformatics. You will spearhead
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on or as soon possible, with possibilities to extend for another two years. Job description You should be experienced in biochemistry, tissue proteomics, and protein bioinformatics. You will spearhead
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development and application of single-cell proteomics by MS (scp-MS) workflows Advanced computational/bioinformatics analysis skills Experience with mammalian cell culture techniques, ideally including
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collaborating on a number of spatial transcriptomics projects unrelated to cancer and you will be taking part in building a strong local community focusing on the bioinformatics aspects of these types of data
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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to protein engineering and molecular cloning, Experienced in bioinformatic genome analysis and computational tools related to protein structure analysis and prediction, Sufficient expertise in standard
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facilities in imaging, immunology, tissue engineering, and bioinformatics. Qualifications We seek applicants with the following qualifications: Essential: PhD in molecular biology, immunology, biochemistry
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the following: bioinformatics, proteomics, microscopy, biochemistry, structural biology or CRISPR screening in mammalian cells. At least one first author primary paper, or a first author manuscript