Environmental data scientists use computing and mathematics to develop sustainable solutions for environmental problems. Environmental data scientists balance and combine expertise from multiple ...

The Johns Hopkins Data Science and AI Institute welcomes applications for its postdoctoral fellowship program, seeking scholars to advance data science and artificial intelligence and/or its ...

The Environmental Data Science Innovation and Impact Lab (ESIIL), a next-generation NSF synthesis center directed by Geography Professor Jennifer Balch, hosted its third annual Innovation Summit this ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

Both environmental science and environmental engineering offer dynamic academic and career opportunities that focus on understanding the natural world and developing sustainable solutions for global ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

The Met Office and Microsoft are deepening their partnership with the release of two significant Met Office datasets, UK deterministic (2km) and global deterministic (10km), on the Microsoft Planetary ...

Sensors to detect temperature, pressure, and gases, such as CO 2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time ...