Short, timely, broadly accessible papers will provide much-needed primers for a wide audience—highlighting the cutting-edge of both new and established proxies as applied to diverse questions about ...
Princeton’s earth science list ranges widely, with particular strengths in climatology, ocean science, atmospheric science, and the biogeosciences. Our books often employ quantitative and ...
The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class ...
30, 2024 — More accurate orbit predictions for satellites and space debris as well as a better understanding of the water masses present on Earth: Researchers at achieved both using satellite laser ...
Our graduate programs prepare students for careers in the geosciences and related fields. Research opportunities are available for students to work with our faculty studying the Earth’s complex ...
As an undergraduate student in the Department of Earth and Atmospheric Sciences, you will spend time with faculty and graduate students in and outside of the classroom. If you’re pursuing a Bachelor ...
Renewable & Alternative Energy Specialists help ensure that we can meet the world’s energy needs in the future. Earth & Space Science Teachers educate students on the four basic areas of scientific ...
The WIRED conversation illuminates how technology is changing every aspect of our lives—from culture to business, science to design. The breakthroughs and innovations that we uncover lead to new ...
This Lectureship recognises an outstanding emerging investigator working on an energy research topic within the scope of Energy & Environmental Science, providing a platform to showcase their research ...
Oct. 21, 2024 — Scientists paint a compelling picture of what happened the day the S2 meteorite crashed into Earth 3.26 billion years ... Weather-Changing El Nino Oscillation Is at Least 250 ...
Weiwei He and colleagues implement a multi-level physicsinformed neural network to solve partial differential equations, a key problem for efficient structure analysis. Their results improve the ...