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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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statistical software including Stata, R or SAS, python. Have an emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related
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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
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for Languages (CEFR). Knowledge of Python programming. Knowledge of JavaScript. Practical experience in artificial intelligence, machine learning or deep learning, in academic or business environments. Training
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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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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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. • Excellent Python programming skills and strong hands-on experience implementing, training, and evaluating deep-learning models and research codebases. A strong track record in machine learning or closely
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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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