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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
models, and their coupling, using machine learning. The postdoc will be expected to collaborate with other postdocs at Princeton and with other members of the M2LInES project across multiple institutions
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: 270175814 Position: Postdoctoral Research Associate Description: The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior
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. The researcher will work with a group of interdisciplinary scholars across multiple institutions that includes Elke Weber and Chris Greig at Princeton University, Sara Constantino at Stanford University, and Holly
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simultaneous recordings and stimulation from multiple, interconnected brain regions. The researcher will gain experience with the use of laminar/neuropixel probes and electrical microstimulation to study
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The condensed matter spectroscopy group at Princeton University invites applications for multiple Postdoctoral Research or more senior positions to work in experimental condensed matter physics with
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encourage applications from individuals whose personal identities, backgrounds and/or interests (as demonstrated by their research, teaching, service, mentoring and/or advising) align with our commitments and
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their departments and can acquire a breadth of expertise by working with multiple faculty members. We value building a culturally diverse intellectual community; women and members of underrepresented groups
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
at Princeton and with other members of the M2LInES project across multiple institutions. In addition to a quantitative background, the selected candidates will ideally have one or more of the following