317 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "J" Fellowship positions in Singapore
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with physical-based and machine learning methods in atmospheric science. Proficiency in Linux-based high-performance computing systems, GPU-based programming and prevailing AI tools. Experience in urban
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tunnel experiments is a plus • Experience in programming and AI/machine learning is a plus More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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Transformation (DHT) Initiative,” a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes
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approaches, share datasets, and integrate results into broader fusion research programmes Job Requirements: PhD degree in physics Demonstrated experience in scientific computing, including programming
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Intelligence, or a related discipline from a strong institution. Skills: - Proficient in programming languages such as Python, with experience in using AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn
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skills to develop experimental methods, troubleshoot process issues, and interpret complex data sets. Utilize data analysis software, simulation tools, and relevant programming languages for modeling
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microelectronics / materials science / electronic materials as well as experience in applying AI / machine learning techniques (both data and image-based) on interesting use cases as well as strong programming