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Field
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with taxonomic expertise, quantitative ecology, and spatial modelling, the project aims to: Characterize the ecosystem functions of coastal cold-water coral (CWC) and sponge habitats, and assess how
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-funded DigiCARES project, which advances AI-driven digital twins for climate-aware and community-centered energy resilience. The fellow will implement a research program established in the NSF DigiCARES
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development and distributed sensor networks, climate modeling, and Artificial Intelligence/Machine Learning. The position also offers meaningful engagement with academic, industry, farming communities and
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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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languages (for example, for hardware design or parallel programming) Array or tensor programming Applications to physical sciences, dimensional analysis, or climate impact modeling It is highly meritorious
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for Vertebrate Genomics - providing exceptional opportunities for collaboration, mentorship, and intellectual exchange. Anticipated Division of Time 80% Research: Build, train, and evaluate cutting-edge AI models
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
postdoctoral research associate. The goal of this project is to advance understanding of how ecosystem functioning, productivity, carbon uptake/stock, and resilience respond to climate change, and how
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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar - Agrivoltaics systems analysis and modeling (JPF03056) Postdoctoral Scholar - Agrivoltaics systems analysis and modeling
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scientist to conduct research on the ecological, chemical, and the molecular mechanisms that mediate in microbe-plant-insect interactions in complex communities using model and non-model organisms
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affiliates reflect strengths in machine learning, biological modeling, data ethics, data sovereignty, computer science, environmental data science, climate change policy and modeling, evolutionary genetics