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. Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education influencing society at levels that remain without parallel among
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analysis environment. ● Experience with data processing at scale, and an understanding of which tools are appropriate at which times. ● Working knowledge of OpenMP, MPI or other parallel processing
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collaborative, cutting-edge research at the forefront of modern biology. Specific tasks include being trained for and performing a technique newly developed in the Greenleaf lab - massively parallel filter
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and demonstrated experience with scientific coding/scripting, preferably in Python, R, Fortran, C++ and various shells. Working knowledge of OpenMP, MPI or other parallel processing approach sufficient
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extraction from fresh, frozen, and/or formalin fixed paraffin embedded tissue, with subsequent library preparation and massively parallel sequencing (performed at a core facility). Sequencing data generated
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extraction from fresh, frozen, and/or formalin fixed paraffin embedded tissue, with subsequent library preparation and massively parallel sequencing (performed at a core facility). Sequencing data generated
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society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many of the leaders in the academic and corporate
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society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many of the leaders in the academic and corporate
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, the Stanford CS Department has influenced society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many
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, the Stanford CS Department has influenced society at levels that remain without parallel among academic institutions. Its spin-offs are among the most successful corporate ventures in the world, and many