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technologies and metrological tools, networked and connected systems (e.g., IoT), optimization, and industrial analytics. Aid in the integration efforts aimed at creating a fully functional lights-out
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control systems aimed at transformative healthcare applications. The successful candidate will contribute to the design, modeling, and implementation of next-generation integrated platforms, including
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Infrastructure? No Offer Description Mission: Implement an optimization method in the general methodology developed. Functions to be developed: Develop a data optimization module using Python, based on criteria
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, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as well as external
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demonstrators, to be optimized and evaluated on flexibility, sustainability and efficiency for the corresponding use-cases, including the use of new and emerging specialized AI-focussed accelerators for radio
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Experience in the development of advanced drug delivery systems Strong background in polymeric biomaterials and hydrogel-based systems Experience in controlled and sustained release studies Experience in wound
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electrode materials (such as lithium-iron phosphate and lithium superionic conductors). Operation and continued design optimization of electrochemical desalination cells and processes. Electrochemical
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. The position applies techniques, practices and procedures and robust continuous improvement efforts in both dental/clinical operations and financial operations to optimize performance in a rapidly changing
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, and Integration Develop, maintain, and optimize automated data ingestion and ETL pipelines to integrate data from imaging platforms, clinical data systems, and external collaborators into standardized
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University of California, San Francisco | San Francisco, California | United States | about 8 hours ago
, including controlled terminology, clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology