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, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency
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-generation technologies that promote sustainable, healthy, and intelligent living environments. The successful candidate will develop innovative sensing systems, artificial intelligence (AI) algorithms, and
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, and testing of software prototypes and algorithms related to security, privacy-preserving technologies, and digital trust. Conduct comprehensive literature reviews on state-of-the-art methodologies
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cryptography Quantum error correction and fault-tolerant quantum computing Quantum algorithms and complexity theory Quantum optimization and quantum machine learning Quantum programming languages, compilers
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cryptographic implementation, demonstrated through previous projects on software and/or hardware implementation of cryptographic algorithms (not restricted to symmetric-key algorithms). For direction 2, it is
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at the interface of optimization, geometry, and machine learning Designing, implementing, and testing algorithms Engaging in scientific exchange with collaboration partners of the project Preparing reports
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CCSE - Associate Professor in Computer Science - Integrated Preparatory Cycle & Engineering Programs
of affiliation is retained. TEACHING ACTIVITIES Teach computer science across the preparatory cycle and the engineering and Bachelor programs: computer-science foundations for engineers, algorithmics and data
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 hours ago
-Computer Science Job Title Job Category Administrative & Managerial FLSA for Position Exempt Brief Summary of Work for this Position Research Execution & Algorithm Development Collaborate with PIs to execute
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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is part of the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in