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data processing and analysis (Python preferred). Are meticulous and detail-oriented. Are resourceful, independent, and able to learn quickly. Work well in a small, collaborative team environment
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communication skills with the ability to prepare technical reports and academic publications. Proficiency in job-specific technical skills, including programming for research and data analysis purposes (e.g. Python
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and interpretation Proficiency in R or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior Research Fellow role) A solid publication
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user friendly scripts in R, and Python for data visualization and analysis that can be used by other team members. ● Creative problem solver with critical thinking skills and the ability to manage
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., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested
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, mathematical, programming, and or biomedical skills b) Excellent written, oral communication skills c) Prior programming experience (e.g., python, shell, JavaScript, Matlab) and familiarity with collaborative
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advantageous: • Experience with statistical software (e.g., R) and / or programming languages (e.g., Python or Julia). • Experience with command line interface (bash / Unix scripting). • Experience with
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academic background in machine learning and convex optimization. Prior experience in federated learning, edge computing, or healthcare applications is highly desirable. Proficient in Python and ML frameworks
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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 or experience in environmental exposure