139 parallel-processing-bioinformatics uni jobs at California Institute of Technology
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systems Prepare Earned Value Management (EVM) reports and variance analysis for major projects (Roman and NEO Surveyor) Assist with long-term financial planning, including NASA’s annual PPBE process
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-of-the-art algorithms for detecting and classifying safe landing zones using computer vision techniques in order to design and develop custom models for detecting landing zones in real-time based on drone
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, Division, and Institute levels. Essential Job Duties Assists in managing the graduate admissions process including the administration of graduate applications; organizes and prioritizes applications
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calls, managing visitors, welcoming and directing guests, and reviewing and routing mail. Provide administrative assistance to multiple attorneys requiring a thorough knowledge of OGC’s processes and the
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goals and objectives are met at the Departments, Division, and Institute levels. Essential Job Duties Assists in managing the graduate admissions process including the administration of graduate
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are processed in a timely manner. Loads and unloads trucks. Moves furniture and equipment for relocations and deliveries. Accurate reporting on work orders for material movement and location of inventory
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operational management and oversight, as well as broad support to the Director of CAST and to active faculty using the lab, to ensure the smooth organization and operation of research efforts. This role supports
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scientific team members to develop systems to ingest, process and deliver exoplanet parameter content and tools to users, using modern methodologies, in particular those tools developed to support DevOps
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an expected average of about 10 hours Knowledge of data entry processes Demonstrated passion for sustainability efforts Attention to detail Good networking skills Leadership experience and attitude Ability
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. Experimental Support and Process Development: Collaborate with research scientists to develop and refine epitaxial growth processes, design experiments, and analyze system performance to improve thin-film