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assessing and improving the security of web-based applications and systems that support the RFID Lab’s research activities, helping streamline and optimize processes, reduce manual effort, and improve
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that support our lab’s research activities, utilizing technology to streamline and optimize processes, reduce manual effort, and improve efficiency for the teams throughout the RFID Lab. Essential Functions
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:00 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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team. This position will partner with the Individual Giving team to identify and assign top prospects, provide high-level data analysis to optimize gift officers’ portfolios, prepare for quarterly
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Research Framework Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to explore and develop novel concepts and
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As a design-technology co-optimization (DTCO
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University of California, San Francisco | San Francisco, California | United States | about 14 hours ago
environments. Primary goals are to increase patient satisfaction, and to optimize care and outcomes. Acts as a communication liaison to understand the patient's non-clinical individual needs, desires, and
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Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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reconstruction using Fourier domain optical normalization." Light-Science and Applications 5: el 60389, 2016. http://dx.doi.org/10.1038/Isa.2016.38 Henn MA, et al: "Optimizing the nanoscale quantitative optical