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. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and
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fields Drive and initiative to support and develop data-driven life science in Sweden Proven experience developing and running bioinformatics workflows Hands-on expertise in HPC usage and resource
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, biomolecular technology, biodiversity, drug development, and bioinformatics. A remarkable number of these groups are led by outstanding early-career scientists, including 21 SciLifeLab Fellows, 12 DDLS Fellows
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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to different biological materials and research questions. The bioinformatic/statistic component of the proteomic pipeline is an important part of the work, to be able to assist the users in interpretation and