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Field
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methods. Conduct advanced quantitative analyses, impact evaluations, and wellbeing assessments using software such as R, Stata, SPSS, Python, or related analytical tools. Ensure data quality through
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model as a deployable Python module and/or QGIS/ArcGIS plugin compatible with HDB’s Integrated Environmental Modeller (IEM); coordinate with project partners (HDB, SBS Transit, A*STAR I2R, SIT) and
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approaches Desirable: D1 Software skills including one or more of the following: python, C/C++, Matlab Experience Essential: E1 Experience of planning and progressing work activities within professional
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, machine learning, or related fields. Have strong programming and computational skills in Python, R, MATLAB, or related analytical and machine learning frameworks, such as PyTorch, TensorFlow, or Scikit
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Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image
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of a PhD · Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. · Excellent communication
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. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python for high-performance computing environments. Coordinate data generation with clinical and experimental partners, including
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processing, and sensor integration. Strong background in signal processing, computer vision, or machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record
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: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python
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, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow