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to Princeton University and to interact successfully with a broad range of faculty and students. Expected Salary Range: $65,000 The University considers factors such as (but not limited to) scope and
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independently while working well in an interactive and dynamic setting. This position is subject to the University's background check policy. The work location for this position is in-person on campus
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to make collaborative decisions. Responsibilities will include designing online studies for peer interaction with children, writing manuscripts, presenting research, and mentoring undergraduate and graduate
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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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. The researcher will interact with graduate students and postdoctoral researchers in the research group and in collaborating experimental research groups. Previous experience in computational modeling
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Qualifications: Ph.D. degree in evolutionary biology, ecology, zoology, paleobiology or a related field.*Excellent writing ability in English.*Creativity and the desire to work in an interactive and inter
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, including but not limited to cement chemistry, material science, or structural materials and mechanics. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply
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include designing online studies for peer interaction with children, writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in the group. The term of appointment is
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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technologies; and applies these methods to study regulatory genomics of cell function and cell-cell interactions, with a focus on immunology and cancer. The successful candidate will have an opportunity to lead