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Stanford University is seeking a Bioinformatics Engineer to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. You will be
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support to achieve this balance. If you are looking to make a large impact through global-reaching clinical research, we encourage you to apply! Duties include: Lead strategic planning and analysis
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effectively communicate information to internal and external audiences, client groups, and all levels of management. Advanced project management skills and ability to lead large multi-functional teams. PHYSICAL
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be made better. This is a role for a researcher excited to work with big, messy, real-world data, motivated not just by building models but by improving systems: how clinicians work together, how
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teaching and research universities. Since its opening in 1891, Stanford has been dedicated to finding solutions to big challenges and to preparing students for leadership in a complex world. Residential
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the process of iPSC reprogramming, and ability to produce a large homogeneous cell population. The LSRP 1 will be responsible for assisting senior laboratory members in the preparation and analysis of hiPSC
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the design and development of multiple projects using state-of-the-art AI models, algorithms, statistical models, and other programs designed to improve the public sector. Work with large untapped data
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Science Research Professional 1 will support and work with research team on data analysis and dissemination of results from an existing dataset for a large cohort study. Will assist with data analysis
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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, at Stanford University and beyond. * Keep up on latest developments in the glomerulonephritis field, e.g. availability of large data in shared databases. * Source, collect and analyze data, e.g. about