8 parallel-computing "SciLifeLab " Postdoctoral positions at University of Washington
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and physical processes relevant to ocean circulation and dynamics. Experience with high-performance computing, parallel numerical models, large scientific datasets, scientific programming, and the
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/Cas9-mediated genetic and epigenetic manipulation of AML cells and massively parallel reporter assays to investigate gene regulation in leukemia. Computational analysis of these data will involve
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qualifications or as mandated by a U.S. Department of Labor prevailing wage determination. Other compensation associated with this position may include travel to national or international conferences, computing
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expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic science disciplines, as well as clinical medicine, work together to both
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information and quantum matter. We welcome candidates whose interests include quantum phases of matter, quantum computing, quantum error correction, non-equilibrium physics, critical phenomena, open
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, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud). An interest in learning
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cell culture. High-performance computing environments. UNIX and Python and/or R. Reverse genetics systems or viral culture. Advanced statistical or computational data analysis. Extensive prior virology
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research partnerships is desirable. Additional areas of expertise that would be valuable include experience with sensing technologies, geohazards research, data analysis, scientific computing, or