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Cartoon of three balls in different shades of pink popping out of doors marked for the three different kinds of neutrinos: tau, muon and electron. To the right of them, three tiny scientists in white lab coats on scaffolding.

Back when it was theorized, scientists weren’t sure they would ever detect the neutrino. Now scientists, including some at Fermilab, are searching for a version of the particle that could be even more elusive.

Scientist and 2021 URA Early Career Award winner stands at a chalkboard working on equations.

Fermilab’s Pedro Machado has won the 2021 Universities Research Association Early Career Award for his theoretical work on neutrino science that helps experimentalists with novel search strategies and scientific questions worth exploring.

The annual Universities Research Association Thesis Award recognizes outstanding work for a thesis conducted at or in collaboration with Fermilab. Zhang’s winning Ph.D. dissertation included insights into both physics searches and equipment upgrades at the Large Hadron Collider’s CMS detector. Fermilab serves as the U.S. hub for CMS.

Two crew members stand with the drill underground.

Construction crews will excavate around 800,000 tons of rock to make space for the international Deep Underground Neutrino Experiment. But first, teams must carve out a quarter-mile-high ventilation shaft.

A new fellowship created by Fermi National Accelerator Laboratory will provide engineering students in underrepresented groups in STEM immersive learning experiences on world-leading particle accelerator projects at Fermilab, starting with the new PIP-II accelerator that will power the world’s most intense neutrino beam. Applications for 2022 open September 2021.

Portrait of a man with dark hair and a short beard and mustache wearing glasses, a brown corduroy jacket, a red and blue plaid shirt. His hands are interlaced on the table in front of him. In the lower left corner, the keyboard of a laptop peeks out. He is in front of a starry background.

What if human analysis, combined with machine learning, could advance the study of the universe? The U.S. Department of Energy awarded Fermilab scientist Brian Nord a $2.5 million Early Career Research Award to explore that possibility. Nord has envisioned a new hybrid data-analysis method to undertake the project. It integrates the strengths of artificial intelligence and interpretations of statistics in ways that could potentially advance the studies of cosmology.