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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 277494287 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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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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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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design; *One writing sample (limit of 50 pages); *Contact information for three references, who will be asked to comment specifically on the applicant's qualifications for the proposed research project
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transport, buildings, and industry sectors. *Experience with managing, processing and analyzing large datasets. *Strong programming skills, particularly Julia/JuMP and/or Python. *Strong scientific writing
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or HREELS to identify and follow reactions of surface-bound species. Typically for utilizing incident ions, a differentially pumped ion source is used, but for higher ion fluxes, an ECR plasma ion source with
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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description of the proposed research project, including its specific objectives, importance, and research design; *One writing sample (limit of 50 pages); *Contact information for three references, who will be
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. The analysis is expected to identify key development interdependencies between sectors and assets, which if not addressed, create investment decision bottlenecks that limit the speed of the energy transition
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, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025