72 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at California Institute of Technology
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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Director of Business, Finance & Information Systems
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Data Scientist and Application Developer. Come be a part of the team that is researching and publishing Albert Einstein’s published and unpublished writings, his letters and those of his colleagues
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for software for visualizing and supporting analysis of data resulting from various scientific fields (including material properties, climate simulation, fluid dynamics, glacier studies, etc.) on the web
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. Connections working at California Institute of Technology More Jobs from This Employer https://main.hercjobs.org/jobs/21997309/data-scientist-and-application-developer Return to Search Results
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conduct medical device prototyping in the cardiovascular area with a focus on data acquisition and advanced data analysis. Essential Job Duties Hardware design of pressure monitoring systems. In vivo data
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data analysis, and present data findings to the PI and Director. Perform other related general lab duties, as assigned. Basic Qualifications Bachelor's degree in biology or related field with interest in
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the teams that build and maintain voice and data networks for the Caltech campus; and the teams who provide end user support services (Help Desk and Advanced Support). This position is responsible
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to other appropriate offices and departments, as necessary. Review security camera monitoring and access control systems; enters and retrieves data utilizing the security management access system. Keep
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, email, Zoom, and/or in-person. Assists responding to requests for information (RFIs) and reviewing and analyzing data. Coordinates the review of monthly union-related deductions to be processed in
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the recent Olson et al. PNAS publication (doi: 10.1073/pnas.2501046122). Essential Job Duties Design, execute, and interpret complex in vitro and in vivo immunology experiments. Drive data generation for high