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A two-day workshop focused on skills development in the application of both traditional and machine learning methods in predicting spatial/temporal variations in environmental exposures (e.g., air pollution, temperature, noise) using real data sets. This is an in-person training at Columbia’s Mailman School. Investigators at all career stages are welcome to attend. Paid registration is required.
Want to explore interest areas and career options to find your best fit among our graduate degree programs and departments? Learn about opportunities for study at the University of Pittsburgh School of Public Health during this summer event. Advanced registration is required. When registering note that there are both in person and virtual days.
Join us for a tour of the Johns Hopkins Bloomberg School of Public Health. Building tours provide a glimpse into what life is really like within the walls of the Bloomberg School. Admissions representatives conduct tours on select Fridays from 2 to 3 p.m.
A two-day intensive combination of seminars and hands-on analytical sessions to provide an overview of the concepts, techniques, packages, data sources, and data analysis methods needed to conduct Mendelian Randomization studies. This training is offered virtually and in NYC. Investigators from any institution and from all career stages are welcome to attend. Paid registration is
Wednesday, August 9 at 12pm EST, join us to learn about the UMD SPH community, our public health master's programs, and the application and admission process for our Master's Programs.
A two-day intensive course of seminars and hands-on analytical sessions to provide an approachable and practical overview of concepts, techniques, and data analysis methods used in Bayesian modeling with applications in Environmental Health. Training is offered in NYC. Investigators from all career stages are welcome to attend. Paid registration is required.
