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and sound judgment in data analysis and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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science, GIS, computer science or other relevant disciplines • Good background knowledge and overall interest in design technology • Proficient in statistical and programming skills, like Python
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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terms of publications Proficiency in scientific computation in C/C++ and Matlab/Python or similar languages Good communication and writing skills The College of Science seeks a diverse and inclusive
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/398927/research-fellow-ai-… Requirements
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. Job Requirements: Ph.D. in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Proficiency in programming languages such as C/C++ and Python. Independent, highly analytical
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in
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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python