183 parallel-processing-bioinformatics positions at California Institute of Technology
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-leading scientists and engineers at LIGO Lab. This is a unique opportunity to have hands-on experience with the processes involved with taking a concept from design to implementation/installation
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supervisor in administration of daily operations, and monitors work in progress by applying advance knowledge in all phases of cleaning, sanitizing, and disinfecting processes and floor care techniques
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hospitalization and medical leave processes in coordination with the Deans’ offices. In collaboration with the Director, writes and reviews policies and procedures for the center. Coordinates professional
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, performs maintenance, calibration, troubleshooting, and installation on all plant and facilities EMS/BMS and related controls required to insure proper operation of steam, water, gas, air, vacuum, cooling
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. Perform transportation services such as transporting materials in liquid or packaged form to and from campus locations. Ensure all material requests are processed in a timely manner. Loads and unloads
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staff of other Caltech departments, and at other peer institutions. Basic Qualifications Bachelor’s degree or equivalent experience in Computer Science, Computer Engineering, or related field. At least 10
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of low noise electronics, high speed analog and digital signal transmission, gate array programming, state machine design, schematic capture, circuit simulation, PCB layout, and/or operation of cryogenic
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assigned schedules. Ability to identify opportunities and implement improved productivity and use of resources; takes initiative to improve work processes. Ability to interact professionally with various
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related systems required to ensure proper operation and reliable system performance. This is an Essential Reporting position. An employee designated as essential reporting has essential job skills that
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solutions, and enterprise data warehousing. This role involves leading a team of data professionals and collaborating with cross-functional stakeholders to enable a data-informed decision-making process. This