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Insurance Programs Yes Annual Leave Yes Sick Leave Yes Position Description Advertised Job Summary Postdoctoral scholar needed to conduct research in ultra high resolution remote sensing of sea surface
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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human activity in the region, partly due to the dramatically reducing summer sea-ice extent, increases vulnerability to high impact weather. Mitigating these risks demands better forecasts, but to make more
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ISMIP7 experimental protocols for forcing the Greenland ice sheet with atmospheric and oceanic boundary conditions with one ice sheet model (Community Ice Sheet Model, CISM) ahead of general application by
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) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the Postdoctoral Research Associate - Coral Reef Systems on the Edge, your key responsibilities will be
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. This role is part of a project recently funded by the Australian Research Council (ARC) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the
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throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research
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) to address critical questions in sea-level change, paleoclimate variability, and coral reef responses. As the Postdoctoral Research Associate – Coral Reef Systems on the Edge , your key responsibilities will
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collaboration that aims to refine our understanding of the controls on ocean carbon cycling and ecosystem resilience with integrated observations and modeling. The lab houses a state of the art mass spectrometry
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational