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subject to the University's background check policy. Qualifications - PhD or Master's degree required in a relevant science or engineering discipline such as chemical/biological engineering, biology
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doctoral degree in physics, optical engineering, electrical engineering, biophysics, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in
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will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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post-PhD. Applicants must have a Ph.D. in plasma physics, nuclear engineering, or a related field. Strong analytical and English communication skills are required. Experience with real-time diagnostic
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science and engineering applied to stakeholder-relevant issues. The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL's model data (both historical and future