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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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disciplines; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese; (c) be proficient in using statistical software such as R, Mplus, SPSS, Python, etc
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related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
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experience using statistical software such as R, Stata or Python, together with the ability to manage and analyse complex datasets and contribute to scientific publications and presentations. You will also
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analysis of high‑speed imaging data; (b) proficiency in MATLAB, Python or other related software; and (c) a good command of written and spoken English. Applicants are invited to contact Dr Wang Fangyi
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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need strong Python programming skills and experience with at least one major deep learning framework such as PyTorch, TensorFlow, Keras, MONAI, or similar. Experience in image analysis, video analysis
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the scenario literature on residual emissions, carbon dioxide removal and carbon capture and storage Proficient programmer, with experience in Python for data analysis (e.g. pandas, pyam) and reproducible
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Science or a related field Strong organisational skills and attention to detail Experience with statistical programming (Python, MATLAB or R) is preferred Experience working with neuroimaging data is
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data (e.g. instrumental, laboratory, environmental, numerical and categorical data, text, geospatial data or time series); c) Experience in Python programming and in data analysis and machine learning