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. Candidates with expertise in climate science, hydrology, earth and planetary science, and physically-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes
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conversion, with the ambition to be recognized among the leading global centers addressing CO₂-based climate change mitigation. The center integrates chemical sciences, life sciences, and engineering
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crane. The successful candidate will build reproducible machine learning pipelines, integrate detections into spatial ecological models, and generate conservation-relevant outputs for regional partners
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of Engineering, at the University of Texas at Arlington, invites applications for a Post Doctoral Research Associate who will be working in the areas of improving forecasts of weather, climate and snowpack, and
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climate change is already influencing flood risk. Projected increases in rainfall, sea level and storm winds are likely to escalate the risk of flooding in the future. There is an urgent need to better
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for seasonal prediction using hybrid physics-machine learning models in R&D item Research on Seasonal Meteorological and Oceanographic Forecast Simulator under Development of Integrated Simulation Platform
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of climate change, industrial pollution and loss of biodiversity, and curious how to grasp the complex relation between them? Are you an experienced ethnographer interested in studying marine environments
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The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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approaches to analyze regional and local diversity of birds in forests and savannahs worldwide. We are keen on macroecology, biogeography, macroevolution, and modelling. We are seeking an ambitious