7 coding-"https:"-"https:"-"https:"-"https:"-"CSIC" Fellowship positions at National University of Singapore
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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Description We are hiring 1 Research Fellow in computational science and machine learning for extreme weather forecasting applications. The ideal candidate should be skilled in coding, and software development
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degree in mechanical/aerospace/civil engineering with strong expertise in experimental and computational fluid dynamics. The candidate must have experiences in coding, designing and developing flow
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. Radionuclide dispersion modelling The migration of radionuclides, in the air or water bodies (both surface and underground) will be modelled using either community dispersion models or in-house-developed codes
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, Statistics, or a related field. • Coding: Proficiency in Python (NumPy, Pandas, Scikit-learn). Knowledge of C++ or SymPy is a major plus. • Machine Learning: Strong understanding of machine learning
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systems or proof-of-concept demos. • Design, code, and optimize robust deep learning pipelines • Project reports writing and presentation. Qualifications • Possess a Bachelor degree or above in
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. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis