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17 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mechanical and Industrial Engineering Research Field Engineering
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18 Sep 2026 Job Information Organisation/Company Silesian University of Technology Research Field Technology » Other Computer science » Other Mathematics Engineering Researcher Profile First Stage
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. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will investigate AI-driven approaches
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team of about 100 members working on fundamental and applied research across the broad spectrum of digital communication networks and data-driven inference. IDLab-UAntwerp is embedded within both imec
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the Age of Generative AI”. About EMANAIRE EMANAIRE: https://emanaire.eu/ is a Marie Skłodowska-Curie Actions Doctoral Network bringing together 15 doctoral candidates at nine European universities to study
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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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) involving sociology, psychology, clinical cardiology, cellular biology, advanced biomedical engineering, and imaging technologies. Work Package 3 (Sociology) focuses on how individuals and families understand
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removed before the deadline. This PhD will develop AI-enhanced flexible antenna systems for resilient next-generation wireless networks. By exploiting flexible antenna technologies, the project will
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5 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Engineering » Biomedical engineering Technology » Nanotechnology Researcher Profile First Stage Researcher (R1
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optimization engines for memory-aware deployment, compiler and runtime systems capable of supporting dynamic neural network topologies, energy-efficient embedded AI frameworks targeting RISC-V multicore and