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Observatory of Columbia University invites applications for a Staff Associate I within the LEAP Science and Technology Center. The SA-I will use their knowledge of data science, climate modeling and data
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: Answering the pressing challenge of climate change requires rapid changes in energy production methods. Today, more than 80% of the primary energy production is based on the combustion of fossil fuels, which
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integrating various datasets, such as tree species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large
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embedded in our UoB group of Meteorology and Climatology (https://www.birmingham.ac.uk/research/activity/environmental-health/areas/meteorology-climate ). The UoB is proud to be a member of the Met Office
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changes and challenges. Bioeconomic models are used to study cost-effective adaptation measures under climate change and market-related risks with a particular focus on irrigation, climate-related external
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and subsoil, with a particular focus on groundwater resources. In a context of increasing anthropogenic pressures and climate change, key challenges relate to improving knowledge, management, and the
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University of California Agriculture and Natural Resources | Oakland, California | United States | 3 days ago
for Employees, Students and Third Parties APM - 035: Affirmative Action and Nondiscrimination in Employment Preferred Qualifications: Experience with advanced quantitative methods (i.e. causal modeling
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Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and innovative
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Productivity Index (RPI) using observed versus potential productivity modelled with machine learning (https://doi.org/10.1016/j.ecolind.2025.113208 ), this applied geospatial ecology project will study how
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support the assessment and creation of bankable and sustainable climate investments. Working with Information Retrieval experts Prof Iadh Ounis, Prof Craig Macdonald and Dr Richard McCreadie, the postholder