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software. Knowledge of explainable AI methodologies. Experience integrating heterogeneous instrumentation under unified control architectures. Track record of publications in high-impact journals in
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seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
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Doctoral Researcher in Building Acoustics with a strong interest in historical construction and twentieth-century architecture in Finland We are looking for a Doctoral Researcher to join a new
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architectures for critical communications; Implement and experimentally validate the solutions on representative platforms; Deliver scientific outputs (publications, software, prototypes, potential patents
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a solid understanding of the theoretical and practical requirements for designing tunable and reconfigurable metasurfaces, with emphasis on multilayer architectures and system-level performance
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 3 hours ago
science. Your profile PhD in Computer Science, AI, Human-Computer Interaction, Computational Biology, Software Engineering, or a related field (or MSc with substantial professional experience). Strong
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architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators may be either tightly integrated with
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experimental platforms for real-world quantum computing applications. Candidate Profile We are looking for interested candidates who have: - PhD in Computer Science, Software Engineering, or a related field
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and