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Field
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delivering high-quality, specialized career coaching and supports building a scalable career development program. Working closely with the Associate Director and a small team, this role supports daily service
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develop, execute, and maintain state-of-the-art data processing pipelines on Caltech high-performance computing (HPC) clusters. Develop and maintain scripts for routine analysis tasks such as qPCR
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support for the Department, including supervising administrative staff. As such, s/he performs a comprehensive range of responsibilities across both schools, including: financial management and development
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance
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, and engineers specializing in electron and X-ray microscopy, fostering a collaborative, inclusive, and high-performance culture Advance the CNM user science program, enabling cutting-edge experiments in
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-supported program) and the Macromolecular Diffraction Facility of the Cornell High-Energy Synchrotron Source (MacCHESS, an NIH-supported National Resource) and will involve collaborative projects and beamline
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involved in the Mengs lab effort. The ideal candidate will closely partner with Professor Shirley Meng to plan, oversee, and execute all aspects of the research operation, from basic calendaring and
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scalable and reproducible data generation, fueled by advanced scientific computing, informatics, and automation solutions. Data Foundry operates through four integrated pillars: Architecture4Insight (data
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contingent upon satisfactory performance, available work and funding. Requirements Ph.D. in statistics, computer science, or a related field Ability to develop, adapt, and apply quantitative methods to answer
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systems; quantum transport tools; and high-performance computing clusters. The individual will advance quantum science and technology to address practical applications in health, security, and