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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 computer
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of the report for the AI Task Force. Collect and analyze data, create reports, review and explain trends to determine program effectiveness; formulate and evaluate alternative solutions and/or recommendations
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, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Senior Data Scientist to help drive forward a diverse research program focused on public sector artificial intelligence (AI
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), Tirin Moore (https://www.moorelabstanford.com ) and other labs at Stanford University renowned for their expertise in perception, cognition, pioneering neural recording techniques, computational
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biology techniques, such as gel electrophoresis, PCR, recombinant DNA cloning and recombinant protein expression and purification Basic understanding of computational analysis including basic coding skills
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Leadership for Sustainability (SUST) and Earth Systems. The DFO will provide administrative management for both programs. SUST is an interdisciplinary co-terminal master's program that prepares leaders
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or modify the goals of the program or function. May develop and/or oversee budgets; manage finances including monitoring, analyzing, forecasting, and reporting. * - Other duties may also be assigned. DESIRED
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. Demonstrated ability 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
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computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Ability to work under deadlines with general guidance. Excellent organizational skills and
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) therapies for melanoma. This position offers a unique opportunity to work at the intersection of cutting-edge cancer immunotherapy and advanced computational biology. Position Overview: • Full-time