Data-Driven Neuroscience Fellowship - Hybrid Mentored Research

ABRCMS; Seattle (WA); Hybrid; USD 94.000 - 128.000; Vollzeit

Benefits dieser Stelle

Benefits

Zusammenfassung

The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is a three-year data science fellowship co-hosted by the Allen Institute and the University of Washington’s Computational Neuroscience Center. It seeks to integrate data scientists into neuroscience through independent research and multi-mentorship, with a hybrid work model in Washington state.

The role emphasizes applying cutting-edge data science to neuroscience data, mentoring, presenting at conferences, and

Qualifikationen

• Ph.D. in a quantitative field (e.g., CS, EE, physics, math, or biology).
• Strong background in statistics, computation, and ML.
• Proven track record of academic excellence and independent thinking.
• Strong written and verbal communication skills.

Aufgaben

• Familiarize with neuroscience data and select a mentor.
• Develop research program using Allen data resources.
• Apply data science methods to neuroscience problems.
• Publish findings in peer‑reviewed journals and present at conferences.

Kenntnisse

Statistical methods

Machine learning

Computational analysis

Ausbildung

Ph.D. in a quantitative field

Jobbeschreibung

The Shanahan Foundation Fellowship at the Interface of Data and Neuroscience is a three-year data science fellowship co-hosted by the Allen Institute and the University of Washington’s Computational Neuroscience Center. It seeks to integrate data scientists into neuroscience through independent research and multi-mentorship, with a hybrid work model in Washington state.

The role emphasizes applying cutting-edge data science to neuroscience data, mentoring, presenting at conferences, and