130 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary
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surveillance and national preparedness for effective disease outbreak management programme. Qualifications · PhD in Medical/Clinical Laboratory Science, Biomedical Sciences, Virology or equivalent degree
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We are seeking for a full-time Postdoctoral Fellow to work on projects in the area of household finance, investment, and financial literacy. The project is part of a large 5-year research program
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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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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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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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hosted within established research labs at CSI Singapore to develop their independent research programs. They will receive a competitive base salary of up to SGD$93,000 per year (not including benefits
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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