80 cloud-computing-"https:"-"https:"-"https:" positions at California Institute of Technology
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experience interpreting DNA sequence data and protein concentration data. Familiarity with automated liquid handling platforms. Strong computer skills, including familiarity with Excel, formulas, and assay
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funding and costs when necessary. Create regular and ad hoc summary, installment, and cost detail financial reports. Program Management and Administration: Serve as one of two main points of contact
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database systems, performs data entry, and generates reports for marketing, financial, and scheduling purposes. Schedules CTME public courses and maintains CTME website, including course/program pages
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program while working closely with CCE faculty and external experts. The Research Scientist will also support post-bootcamp research integration, enabling participants to apply AI/ML methods to active
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voltmeters, oscilloscopes and dynamic signal analyzers. Documentation of test results and error/bug reporting. Use of, and some editing of, computer scripts for electronics testing. Inventory of electronics
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for delivering a consistent, secure, and high-quality technology experience for staff and visitors. To achieve this, the team manages a wide range of technical duties, including: Staff Computing: Managing and
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that support the ongoing growth and integrity of the Institute Compliance Program. Essential Job Duties Manage and conduct compliance assessments in accordance with ASIC policies and in line with an Effective
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team. Financial stewardship for serval budgets of ~$8M. Basic Qualifications Bachelor’s degree in engineering, computer science, computer information systems, or a related field, or equivalent experience
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Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part...
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. The role involves the design, implementation, and testing of GPU compute kernels, and associated host code, for the CHR real-time pipeline. Particular challenges include high-throughput beamforming via a