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This course examines further techniques for collecting, evaluating, and using data-based evidence in environmental research. It builds upon ENVS 178, with a focus on inferential statistics, including sampling distributions, confidence intervals, parametric and nonparametric hypothesis tests, and linear regression models. It further develops skills in using statistical software for data analysis and modeling of environmental data. Job Requirement • A Ph.D or Master's Degree in related discipline from a reputable university. • At least 2 years of relevant teaching experience at the tertiary level is preferred • 5 years of relevant work experience will be an added advantage • Assessment of students • Must be available to teach day time on weekdays We regret that only shortlisted candidates will be notified. The Singapore Institute of Management (SIM) is one of the region’s leading education and lifelong learning institutions, recognized for empowering individuals and enterprises to thrive across life stages through learning. Seeded by the Singapore Economic Development Board in 1964, SIM has, for close to 60 years, been leading in the development of work and industry skills for Singapore’s growth. Through harnessing new knowledge, skills and technology, SIM provides skills-based learning experiences that enable students, professionals, and enterprises to Learn for Life and Thrive for Life. SIM achieves this through SIM Global Education (SIM GE) and SIM Academy. SIM GE focuses on higher education pathways and SIM Academy focuses on Professional Development (PD) and Enterprise Solutions (ES) for career transitions and advancements, and integrated learning solutions for enterprises. For more information on the Singapore Institute of Management, visit sim.edu.sg Details Details Details 
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Sim
Clementi Campus, Singapore
Associate Lecturer - Applied Statistics for Environmental Research (HE4).
ENGINEERING
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