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, and computer scientists to ensure models can be deployed in large data real-world scenarios. Strong programming skills in Python, PyTorch, and/ or JAX are required, along with the ability to reason
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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, Vue, and Angular. Back end experience with building web APIs using common object-oriented programming languages and frameworks. Examples include TypeScript + Express, Python + DJango, Java + Spring Boot
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. in the field of Artificial Intelligence Methods for the purpose of Space observations and operations based on Event Camera technologies. Proficiency in programming languages such as Python, C
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Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
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details, please view https://www.ntu.edu.sg/cus We are looking for a Research Associate who will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively in
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: Proficiency with R, Python, or Stata. Work with large and complex datasets. Apply machine learning algorithms in operational environments. Proficient with GitHub. Worki on field experiments / randomized
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cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving patterns, and AI-ready data transformations. Support RAG/semantic
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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spectroscopy Should have working knowledge of optics, electronics, 3D experimental design (e.g., CAD) and coding languages (e.g., Python) Should be willing to train users of spectroscopic and experimental