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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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information through parallel channels—manual signs, spatial grammar, facial expressions—operating simultaneously in 3D space, presenting unique computational challenges for cross-modal alignment. The project
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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provided in the CV and/or in the motivation letter; Experience in spatial data management using geographic information systems - information provided in the CV and/or in the motivation letter. * Please note
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Description The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research
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. Experience with high-throughput data analysis, including single-cell RNA sequencing, spatial transcriptomics, or computational immunology using R or Python, is a plus but not required. Excellent organizational
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Model (RFM) for Germany by deriving and integrating detailed spatial information at the regional scale on flood protection structures (dikes, reservoirs etc.) across major river basins, enabling more
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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outcomes of this project will help to better retrieve the soil moisture in the presence of vegetation at high spatial resolution and, at the same time, estimate the plant water content. Automatic and