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advanced statistical methods (e.g., hierarchical linear modeling) a plus. Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS*: Constantly perform desk-based computer
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experience. Education & Experience (Desired) Experience with mammalian cell culture, bulk RNAseq, single-nuclei RNAseq, RT-qPCR, ELISA, microtomy and light & electron microscopy Experience in computational
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Experience: High School Diploma or equivalent. Knowledge, Skills, and Abilities: Basic computer skills and demonstrated experience with office software and email applications Ability to follow through and
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the vision, strategy, and goals of externally funded research. The Grant Writer will be responsible for program strategy development/management and will work with the PI and other researchers to develop, draft
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questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract
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outcomes. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent
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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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innovation. The incumbent leads the library’s AI & Technology program, developing long-term strategy, policies, and services that ensure emerging tools are responsibly and sustainably integrated into teaching
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team. This role will develop the computational and visualization tool to segment, annotate, and classify subcellular features from cryogenic volume electron microscopic image data. The ideal candidate
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budget and developing financial plans. Experience developing program partnerships and funding sources. Preferred Requirements Preference will be given to a candidate with a Ph.D. Knowledge, Skills, and