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senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences
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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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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences
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resolution, and ocean-physics representation in contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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resolution, and ocean-physics representation in contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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the substrate relevant to wetting and dry-out, while thicker films probe bulk properties. Helium retention in solid and liquid Li surfaces may also be probed. Qualified candidates should have a Ph.D. in physics
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, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related Engineering and Physical sciences disciplines, and a solid publication record. We seek faculty