26 experiment-"https:" "https:" "https:" "https:" "https:" positions at Rice University
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Experience with JavaScript frameworks (especially VueJS, ReactJS) Experience with backend APIs/HTTP web services and working with JSON or XML formatted data Experience with GitHub and version control General
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compliance with applicable regulatory standards during experiments and research activities. Perform other duties as assigned. Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits Rice Mission
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for overtime. Minimum Requirements: Bachelor's degree in communications, digital media, graphic design, marketing, public relations, or a related field 1+ years of relevant professional experience Skills: Strong
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investigator. The position keeps the principal investigator appropriately informed of progress, deadlines, and exceptions requiring a decision. More information about the Szablowski lab: https
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about systemic change. The ideal candidate is a proactive, organized professional with strong communication and customer service skills, experience coordinating events and working with diverse partners
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have a strong interest in translational biomedical research and a desire to contribute to the development of clinically relevant cell-based therapies. Preferred experience includes mammalian cell culture
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Physics, Applied Mathematics, or a closely related field (completed by start date) Skills Strong background in quantum mechanics Experience with computational modeling, numerical simulation, or scientific
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a track record of excellent customer service in an academic environment. He or she will have experience in general accounting activities, including the preparation, maintenance and reconciliation
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is an analytical and collaborative professional with experience in business intelligence, reporting, and data analytics who can translate complex data into actionable insights, partner effectively with
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, skills, and experience in translating complex business needs into technical solutions using advanced analytics, including predictive modeling and statistical analysis, to drive institutional decision