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, sensing, photonics, AI optimisation, semiconductors, algorithms, wireless systems, distributed technologies, and AI system integration. The network works closely with the EDGE AI FOUNDATION and builds
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machine learning by designing and developing innovative models and algorithms. Key Responsibilities: Designing and conducting comprehensive research in artificial intelligence and machine learning, with a
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: 25/02/2026 Job Description Algorithm Design and Core Development The central responsibility involves building a standalone program that houses complex optimization algorithms. These algorithms manage
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embedded AI-based algorithms. The applicant should: have a Master’s degree in Electrical Engineering, be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades, have a strong
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‑world adoption. Role Overview We are seeking a postdoctoral researcher to define and execute an ambitious research agenda at the intersection of generative AI and algorithm-hardware co‑design for next
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-of-the-art by exploring novel experimental and algorithmic approaches enabling spectroscopy and imaging of quantum materials and biological samples with extreme spatial and temporal resolution. The work at the
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deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Experiment with and deploy vision-language-action models on robotic platforms
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on computer vision. The role involves developing and advancing novel algorithms for emerging challenges in computer vision, including continual learning and few-shot learning. The candidate is also expected
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PETs: This aspect requires a significant math background as it involves exploiting various mathematical results to develop a concrete cryptographic algorithm. Although desired, background in advanced
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teams to codesign hardware, algorithms, benchmarks and software for QHPC systems, aiming to advance our strategic goals in leveraging quantum computing and high-performance computing (HPC) to develop