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addition to an extensive observational programme, the project will bring together a suite of existing models, ranging from spatially explicit lower trophic level models through fish population models to fisheries management
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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Heritage and Education Economic and Spatial Development, Democratic Participation and Social Integration Biodiversity and Health Light, Matter, Information Environment and Sustainable Development Research
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in spatial analyses Excellent scientific writing skills, including ability to lead high quality multiple-authored journal papers in an efficient manner Strong ability to work independently and to
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University of California Agriculture and Natural Resources | Oakland, California | United States | about 1 month ago
appropriate test formulas and performs computations such as multiple and partial correlation coefficients, t-tests, Chi-square, ANCOVA, linear and logistic regression, multilevel modeling, spatial analyses
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relevance to extraterrestrial environments and future energy strategies. For more information on this project, see: https://copl.ethz.ch/research/research-projects/2025-saar.html Job description The PhD
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with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA
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–vascular interactions, and spatial transcriptomic modeling. About McGill and Montreal Montreal is one of North America’s leading centres for research and innovation, home to world-class institutions such as
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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of Geoscience and Remote Sensing , we develop advanced methods and instruments to observe and understand the Earth system. Combining satellite, airborne and ground-based measurements with modelling and machine