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on conducting problem-oriented and policy-relevant research, developing econometric models to understand the economic and behavioral incentives for using new farm management practices and technology adoption, and
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3 Sep 2025 Job Information Organisation/Company Nantes Université Department LS2N Research Field Computer science » 3 D modelling Researcher Profile Recognised Researcher (R2) Positions Postdoc
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to bring together and deploy cutting-edge approaches to small-area population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation
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oriented towards sustainable mobility (superblocks, cycle lanes, low emission zones and other proximity policies). The analysis will combine electoral data at a very disaggregated scale with spatial
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is a collaboration with leading experts at the University of Montana (Spatial Analysis Lab) and Boise State University. The successful candidate will lead the development and implementation of cutting
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The Role Applications are invited for a Postdoctoral Research Associate in the field of agent-based modelling
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, Python, Stata, or others). • Development and quantification of spatial models. Category: postdoctoral researcher, level 2 Working hours: 37.5 hours per week Contract period: it is expected
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
. You will incorporate field survey data, remote sensing and other auxiliary data into spatial modelling processes using techniques such as species distribution modelling and artificial intelligence
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
vivo models of PD Apply and further develop methodologies such as disease modeling, virus-mediated gene delivery, behavior, immunohistochemistry, tissue clearing and 3D imaging, image analysis, spatial
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translational value. Dr. Hopp’s lab utilizes state of the art models and technologies which include multiomic approaches (scRNAseq, spatial RNAseq, spectral flow cytometry, metabolomics etc.) to understand each