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, design, and administration Proficient in statistical software techniques using SPSS, STATA, R or similar software A self-starter with demonstrated ability to form collaborations and lead cross-disciplinary
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statistics, statistics programming languages like R, and applied data analysis for social science. Additionally, the RA will also help the Principal Investigator with general administrative assistant work
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-modal datasets (e.g., biological, imaging, environmental, or clinical data). Proficiency in programming languages such as Python, R, or MATLAB, and familiarity with machine learning frameworks (e.g
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. Requirements: PhD degree in statistics or a related field from a reputable university. Solid knowledge in hypothesis testing and high-dimensional analysis. Strong proficiency in the R programming language
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quantitative discipline Minimum of 2 years’ experience in clinical trials or applied epidemiological research Strong statistical programming skills (e.g., R, Stata) Proven experience in developing Statistical
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, MATLAB and R • Experience in spatial analysis • Experience in using large-scale data sets • Have strong publication records • Excellent scientific writing and communication skills More
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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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on incentive mechanism design. Help supervise PhD, master and undergraduate students, and R&D staff. Help with federated learning technical platform design and development. Help with collaboration with existing
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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