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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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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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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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opportunity to engage in cutting-edge interdisciplinary research focused on Generative AI within the context of construction robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in
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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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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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. Conte Center on the "Cognitive Thalamus". The successful candidate will be part of a diverse team of experimentalists, theoreticians and biostatisticians that studies thalamocortical interactions in
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methods to human-environment questions*Excellent academic writing and communication skills in English*Strong publication record (relative to degree timing)*Collaborative spirit in interacting with
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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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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