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computational analyses that interface with ongoing biology efforts in the laboratory. The LSRP1 will be able to directly work with the principal investigator and other members of the lab in a collaborative
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brings together world-class faculty and researchers who develop and employ cutting-edge technologies —from molecular to computational approaches— to tackle fundamental questions in genetics. We foster a
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Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading
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Nanofabrication Facility (SNF). We are an open-access facility that supports cutting-edge, multidisciplinary research and education in nanoscale science and engineering. Backed by a team of dedicated staff, nano
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The Laboratory of Jesse Engreitz (Dept of Genetics, BASE Initiative) is seeking a Research Scientist in CRISPR Genomics (Life Science Research Professional 3) to lead large-scale data production projects
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in Stanford Data Science, the Stanford Institute for Human-Centered AI, and the SLAC Machine Learning Program. The successful candidate will work with members of the Center and with KIPAC scientists
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to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master
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procedures, Batch Records or provide direction during process development activities. Plan and perform complex components of process development for technology transfer, scale-up/scale-out, optimization
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committed to excellence, innovation and diversity. Emerging science, new technology, and improvements in diagnostics and patient care have enabled nephrologists to treat kidney and renal disease more
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Nanofabrication Facility (SNF). We are an open-access facility that supports cutting-edge, multidisciplinary research and education in nanoscale science and engineering. Backed by a team of dedicated staff, nano