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Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
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: To assess the E-field exposure of new-generation radios using software-defined-radio data acquisition systems and embedded AI analytics. To design low-complexity AI algorithms that can work with limited IQ
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of the project results plan document D16.4 After life conservation plan document D16.5 Commitments for Update SDFs D16.6 Networking with other projects Where to apply E-mail elke_positions@aegean.gr Requirements
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Scheduled Hours 40 Position Summary Provide advanced support of cost-effective information technology solutions by creating new, modifying, and supporting existing software applications. Undertakes
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research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five
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staff, graduate students, and undergraduate students to ascertain and help define their specific needs and then propose ways to fabricate parts and components to satisfy those needs in a timely and
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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Experience with network PCs and Macintosh workstations in a mixed environment (Required) Skill in analyzing information and situations to define the problem and/or objective, identify issues, and formulate
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successful lives by starting or growing a business. Rutgers Business School-Newark and New Brunswick (RBS) adhere to the principles of academic excellence and cutting-edge research that defines Rutgers
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advancing research and experimental work focused on software-defined networking (SDN), network function virtualization (NFV), and container-based network architectures. The ideal candidate will possess not