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science, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries
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theory and methods. Possess strong analytical and problem-solving skills. Able to communicate well with clinicians and statisticians, both verbally and in writing. Prior experience in teaching courses and
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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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highly trained, fast-moving, and client-oriented team dedicated to marry innovative policy practices with the latest theories and approaches in public policy and administration to deliver top educational
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in Computer Science, Mathematics, or a related field. Strong publication record in leading cryptography and theoretical computer science conferences. Demonstrated ability to conduct independent
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, mathematical modeling and health economics Responsibilities Main responsibilities include:- Support SSHSPH in existing research studies Develop new research proposals for SSHSPH. Teach infectious disease
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-moving, and client-oriented team dedicated to marry innovative policy practices with the latest theories and approaches in public policy and administration to deliver top educational experiences to our
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Job Description Apply now Job Title: Senior Manager, Financial Planning and Analysis (Operations) Posting Start Date: 02/08/2025 Job Description: About Us Join the National University of Singapore (NUS) Finance Team – Where Innovation Meets Excellence At NUS, the Office of Finance stands as a...
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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, biostatistics, epidemiology, data science, public health, mathematics, social sciences, or other quantitative disciplines Demonstrates interest in global health and health policy Strong quantitative competencies