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California Institute of Technology, Mathematics/PMA Position ID: Caltech -PDAI [#24730] Position Title: Position Type: Postdoctoral Position Location: Pasadena, California 91125
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of telescope and/or dome mechanical problems, etc. Basic Qualifications An undergraduate degree in a scientific, technology, engineering, or mathematics field is required. Computing and software troubleshooting
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of Physics, Mathematics and Astronomy has recently completed the development of a new readout electronics module for large arrays of superconducting detectors based on the Xilinx RFSoC platform
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California Institute of Technology | Palomar Mountain, California | United States | about 7 hours ago
degree in a scientific, technology, engineering, or mathematics field is required. Computing and software troubleshooting skills are required. Proficient with Windows and Linux operating systems
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quantitative training), mathematics, statistics, or computer science. Experienced in R, Python, and/or Matlab. Good communication skills. Preferred Qualifications Master’s degree economics, business (with a
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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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to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. The Physics, Mathematics, and Astronomy (PMA) Division is one of six
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managing OpenSearch or ELK (Elasticsearch, Logstash, Kibana) stack, including deployment, configuration, performance tuning, and monitoring. Basic Qualifications B.S. in Computer Science, Mathematics
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what they do. The Physics, Mathematics, and Astronomy (PMA) Division is one of six academic Divisions at Caltech. Reporting to and working closely with the Division Operations Officer (DOO) as
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of the following major fields: economics, business (with a concentration in economics), finance, public policy (with a concentration in economics), other social sciences (with quantitative training), mathematics