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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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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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. 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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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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in mathematical modelling methods used to analyse infectious diseases • Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment • An ability
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analyses (e.g., correlation, regression) in SPSS, R, or Python to support ongoing manuscripts and presentations. Regulatory & Administrative Support Prepare study materials, ethics submissions, and
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datasets Experience with IRB submissions and clinical trial coordination is preferred Proficiency in Python, R, or MATLAB for data analysis, and familiarity with cloud platforms (e.g. AWS, GCP) will be
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of scientific findings. He/she will be accountable to the Principal Investigator (PI). The RF / RA will be able to: Conduct quantitative data analysis using SPSS / STATA / R; Lead the development of research
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vacuum systems, cryogenics, and low-temperature experimental techniques Passion for problem-solving and building scalable solutions for quantum hardware R&D 🌌 Why This Role Matters This project plays a
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SPSS and R, and proficient in graphical-user interfaced software (e.g. Qualtrics, Verint, Google forms, Microsoft Office suite) We regret to inform that only shortlisted candidates will be notified