222 parallel-processing-bioinformatics positions at California Institute of Technology
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technology for export controls; ability to conduct document review to determine whether information falls under the export control regulations; prepare licenses and develop processes; perform internal
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identifying cost-effective climate adaptation solutions. Essential Job Duties Downloads and processes large, geospatial datasets Implements quasi-experimental research designs Conducts literature reviews
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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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or member orders. Cook from scratch or make substitutions as requested. Develop menus and coordinate ordering process to ensure adequate supplies are on hand. Responsible for overseeing inventory levels
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the fundraiser portfolio review process as needed. Perform expert biographical and financial analysis to establish prospect research ratings and develop strategy. Respond in a timely manner to all research
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, and/or scientific data analysis, and/or feedback control systems, and/or signal processing. Experience working in a multi-disciplinary research environment. Possess good verbal and written communication
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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
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, sequencing, and analysis workflows. Demonstrated programming proficiency in Python for data processing and analysis. Familiarity with structure–activity relationship (SAR) studies and pharmacokinetic
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implement advanced experimental methodologies, including Neuropixels recordings and in vivo optical imaging. Identify and develop strategies to enhance data acquisition and processing efficiencies, ensuring
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, motion planning, tracking control), and testing (deployment of code on physical hardware, operation of robots). Develop simulations of wheeled vehicles using system identification techniques on real-world