20 multiple-sequence-alignment Postdoctoral research jobs at Princeton University in United States
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candidates with strong expertise in building and conducting ultrafast time-resolved optical experiments. Key skills include the ability to design, assemble, and align ultrafast optical setups, integrate setups
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experimental research related to multiple ongoing projects, including optical diagnostic design and high-temperature ammonia oxidation chemistry with applications to green manufacturing and recycling of steel
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: 272540364 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 successful candidate will be expected to assist with the commissioning of a new shock tube facility and will conduct fundamental experimental research related to multiple ongoing projects, including
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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