135 parallel-computing-numerical-methods Fellowship research jobs at National University of Singapore in Singapore
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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strong numerical and critical thinking skills, and the ability to work in a diverse environment. This position is funded by Southeast Asia Innovation Alliance for a Global Model of Future Agri-food Systems
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imaging, head & neck imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS
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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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. • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/OEE) Posting Start Date: 17/07/2025 Job Description: Job Description The Signature Research Programme in Emerging
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wearable devices. Investigate new materials and fabrication methods to improve the flexibility, efficiency, and scalability of wearable electronics. Collaborate with multidisciplinary teams, including