308 parallel-and-distributed-computing-phd research jobs at Nanyang Technological University
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papers Contributing to quarterly and annual report writing and presenting Job Requirements: PhD degree in Artificial Intelligence, Computer Science, Software Engineering Strong background and research
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The RF should have strong background in computational methods for solving Maxwell’s
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economics Develop state-of-the-art algorithms in algorithmic game theory and fair division Design and conduct experiments to evaluate the algorithm performance Job Requirements: PhD degree in computer
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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conferences, presenting results to stakeholders and industry experts. Job Requirements: Ph.D. in electrical engineering, computer science, or a related field, with a strong background in AI/ML, wireless
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at the intersection of chemistry and biology. We seek a creative and motivated Research Assistant to establish our computational analysis platform and perform computational protein design. This role emphasizes dry lab
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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to the scientific community Job Requirements: PhD in chemistry, physics, material science, computer science or an allied field Experience with quantum computing frameworks, specifically Pennylane and Qiskit
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cutting-edge research in computational X-ray photonics. The research fellow will assist in the development of novel theoretical numerical framework pertaining the generation of compact, high quality X-rays