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publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can balance privacy and data protection with data
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engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization techniques in the context
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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facilities and cloud-edge-based platforms. · Develop AI solutions to manage flexibility sources, ensuring real-time data exchange and interoperability. · Collaborate with researchers and industry
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· Deploy service markets to interact with RT-HIL scenarios · Collaborate with researchers and industry partners to ensure the project’s successful implementation and practical impact · Support
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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Publish in top outlets on information systems, tech policy, and computer science Support research proposals to secure industry partnerships and grants Conduct research and deliver outcomes with academic and
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic