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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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position to work on a new collaborative project in a team with expertise in plasma and plasma-surface interactions, surface science, and quantum metrology. The overall goal of the project is to develop
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courses. Program faculty and senior researchers will offer mentoring to support professional development. Former postdoctoral researchers with SGS have pursued careers in academia, nongovernmental and
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health, or on economic development in the region are particularly encouraged to apply. Candidates will be expected to devote themselves to research and writing and may teach not more than one course per
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development. Former postdoctoral researchers with SGS have pursued careers in academia, nongovernmental and international organizations, and in government (including in the executive branch and congress) as
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Brazil, to fill Postdoctoral Research Associate or more senior research positions. Although the call is open, scholars working on policy and public health, or on economic development in the region
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develop and apply computational approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to lead and contribute to a
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-frequency comb laser for use in conjunction with a unique tip-enhanced spectroscopy instrument, currently under development in Prof. Rabitz's lab, to produce the world's first nanoscale dual-frequency comb
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, collaborative, and vibrant research environment. Princeton University is in an idyllic college town halfway between New York City and Philadelphia, with convenient train access to both cities. This opportunity is
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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects