161 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" positions at California Institute of Technology in United States
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pivotal role in strengthening data‑driven decision-making across Facilities. Reporting to the Manager of Service & Process, this position transforms operational, financial, and system-generated data
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that involve surgical mockups and robotics. Leading data collection efforts, including benchtop experiments. Creating computational and analytical models to match experimental data. Fabricating and testing novel
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to systematically measure and characterize photometric accuracy in SPHEREx data. SPHEREx requires a high-level of photometric reproducibility to carry out its cosmology science, where accuracy on large spatial
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detector operations, R&D toward detector improvements, gravitational-wave astrophysics, observatory operations, and education and public outreach. For more information, please visit the Laboratory website
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for the human interactome project at Caltech. The successful candidate will provide technical data management and operational support for the laboratory, including maintaining quality control and reliable
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Developer with a strong background in Unix software development to join the NASA Exoplanet Archive/ExoFOP development team. Come be a part of the team that is helping astronomers and data scientists all over
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, observatory operations, and education and public outreach. For more information, please visit the Laboratory website: www.ligo.caltech.edu Job Summary At LIGO Hanford you'll coordinate a skilled team of
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noise sources that limit the current detector sensitivity; model optical subsystems of the interferometer and compare to data; calibrate the interferometer length sensitivity; investigate and eliminate
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Job Duties The successful Assistant Software Engineer will: Assist in the development of data reduction pipelines for new and existing instruments. Assist in the execution of software development
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is hiring a Research Lead, Stochastic Sequencing Analysis to support an ambitious DARPA BTO project to overcome the ubiquitous noise and scale limitations of using biological sequencing data