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, conducting experiments, basic statistical analysis, report write-up, etc., is preferred. Experience in qualitative study research, including data collection and audio transcription is a plus. Proficient in
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Proficiency with statistical software (e.g., STATA, R, SPSS) is a plus How to apply: Interested applicants are encouraged to send their application with the subject heading – Research Associate/Assistant (Urban
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qualitative and quantitative data collection and analysis including but not limited to field observation, interview, systematic literature review, video analysis, statistical modeling, SEM, HLM Monitor project
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systems methodologies including, but not limited to, AI/ML, optimization, stochastic modelling, statistics, game theory, financial engineering, and simulation. Empirical, experimental, computational, and
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visualization and analysis, knowledge of cartographic theory, and spatial statistics will be an advantage. In addition, the candidate should preferably have experience in automating GIS processes through
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healthcare and human behavior is desirable. The ideal candidate will have a collaborative and entrepreneurial spirit, strong foundation in statistical, data science and or/machine learning methods, and able
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the team. Qualifications & Skills: PhD in computer science or related discipline Strong background in statistics, mathematics, system implementation, software engineering, and programming ability Track
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lead to significant research outputs. Qualifications & Skills: Bachelor’s/Master's degree in computer science or related discipline Strong background in statistics, mathematics, system implementation
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including but not restricted to statistical and machine learning (ML), artificial intelligence (AI), operations research, data science, and industrial and systems engineering, with applications to healthcare