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on hotspot detection. This modeling work is well supported by large-scale primary datasets, including survey-based, parasitological, serologic, and genomic data. Relevant methodologies include mechanistic
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brain science, learning research, data, and technology, the Stanford Accelerator for Learning works to tackle the most pressing challenges in education today, turning new discoveries into real-world
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with data generators and data integrators to ensure data are made accessible to the scientific community and are suitable for reuse. The successful candidate will be able grasp large, complex research
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Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2 to manage and analyze large-scale longitudinal
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include processing of large data sets including RNAseq. Apply the theories and methods of a life science discipline to interpret and perform analyses of experiment results; offer suggestions regarding
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setting. Priority will be given to candidates who have in-house experience being part of a bargaining team. Experience in managing a large employment litigation portfolio and overseeing outside legal
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. Research experience with machine learning (such as Natural Language Processing) and econometric analysis using large data sets is required. General computer skills and ability to quickly learn and master
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. · Highly proficient in SQL and/or SAS with experience manipulating large, complex datasets. · Prior experience manipulating and merging large, complex data. · Extensive experience and comfort
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and Translational Research Program (CTRP) are seeking a Research Data Analyst 2 to manage and analyze large-scale longitudinal data sets derived from clinical, operational, registry, and survey data
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Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2 to manage and analyze large-scale longitudinal