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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 1 day ago
navigation. The candidate will have two main tasks: 1. develop new and improve existing models of spatial memory, constrained by human single cell recordings. 2. the candidate will also co-develop an analysis
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 6 days ago
., on autonomous platforms), high spatial and temporal resolution measurements of bio-optical parameters are achievable. However, new challenges arise from the high data load and differences inherent to equipment
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understanding of intersectoral scientific fields ranging from optical fibre communication design and implementation, components fabrication, artificial intelligence, or techno-economic analysis, which represent
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with five partners. The focus of the doctoral program is the analysis of the spatial and temporal variability of decontamination efficiency in different soil materials on a flow cell scale. The results
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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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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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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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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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. Spatial Transcriptomics: Application of Spatial Transcriptomics to new patient samples with the aim of validating the molecular signature of the cell populations identified by the AI using Giemsa morphology