Do you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research? Do you love to write code and analyze data? Then please consider joining our growing team of data scientists!
The latest updates for the University community about COVID-19 are available on the University’s coronavirus website, accessible from the link below. The site contains recent communications with important information for students, faculty and staff, as well as FAQs.
Three students received special recognition this year for their research presented at the annual Center for Statistics and Machine Learning (CSML) undergraduate research poster session: Kavya Chaturvedi ’21, Princeton School of Public and International Affairs, Byron Chin ’21, Depar
It was another year of growth for the graduate certificate program at the Center for Statistics and Machine Learning (CSML) which saw 16 graduate students completing the program, an increase from 13 in the previous year and eight for the first cohort in 2019.
As COVID-19 stalked the streets of New York City last year and racked up increasing mortality rates, there were many anecdotal stories in the news media of people abandoning the city.
The universe is a noisy place when it comes to radio transmissions. Cosmological objects from stars to black holes emit radio waves that can sound like eerie electronic ringing or high-pitched squeaks.
Data science affords many opportunities outside academia that can range from policy making in government and think tanks to industries such as finance, transportation and medical.
On April 30, students in the Princeton Data Science club presented updates on research projects. The students and their ongoing projects are listed below: