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. The research group is part of the National Program for Data-driven Life Science (DDLS), generously funded by the Knut and Alice Wallenberg Foundation: www.scilifelab.se/data-driven/ Our group focuses on studying
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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a research projects that link regulatory variation to molecular, cellular and organismal phenotypes using a systems genetics approach. This fully computational position focuses on integration of human
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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https
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Starting Grant from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within
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mass spectrometry instruments, including GC-TOFMS, LC-QTOFMS, LC-TQMSMS, and RF/SPE-IM-QTOFMS, ensuring cutting-edge analytical capabilities. This position is part of the Metabolomics Computational Group
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mass spectrometry instruments, including GC-TOFMS, LC-QTOFMS, LC-TQMSMS, and RF/SPE-IM-QTOFMS, ensuring cutting-edge analytical capabilities. This position is part of the Metabolomics Computational Group
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biochemistry, NMR or computational aspects of nucleic acid or structural biology, but not required. Experience with programming is of advantage, as is using advanced data analysis tools. We are looking for a