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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
des sols et la dispersion de gènes d'intérêt (pathogènes et résistants). Dans l'état de l'art actuel, les modèles globaux (type Earth System Models) ont besoin de développements afin d'intégrer ces
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regional and political geographies in a globalized world at various spatial scales, from local to global. It addresses topics such as (multi-scalar) governance, state geography, nationalism, identities
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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
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Data Science department can be found at https://scds.uoregon.edu/ds. Particular strengths of collaborative research at UO include astronomy, biomedical data science, climate science and modeling, cell
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: Applications accepted all year round Details We welcome applications for a PhD in population ecology and demographic modelling within a dynamic, interdisciplinary research group tackling big questions across
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completion of project deliverables including but not limited to; the preparation of mapping documents, data formatting, and performing advanced GIS analysis. Using GIS tools, geometry types and spatial
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professional support in areas of moderate to advanced complexity, including spatial analysis, modeling, and geospatial systems research, to help evaluate business objectives, define user requirements, and
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
Spatial Planning of the University of Lisbon (IGOT-ULisboa), under the scientific guidance of Dr. Gonçalo Brito Guapo Teles Vieira, Full Professor at IGOT-ULisboa. Website for additional job details https
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and groundwater flooding (groundwater rise). Strengthening hydrological and hydrogeological monitoring, coupled with better integration of geological knowledge into spatial planning and supported by
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single-cell atlases with spatial transcriptomics to understand signaling pathways and gene-regulatory dynamics. Explainable AI (XAI): Ensure models provide mechanistic insights into cancer cell states