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incentives, behavioural drivers, and land-use decisions at the meso-scale (e.g. river basins or regions), using clear case studies. You develop modelling approaches that bridge economic analysis and spatial
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and structures in biomedical image data. Additionally, the candidate will analyze spatial transcriptomic data to evaluate spatial patterns of genes in tissues. They will primarily work on projects
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cities in implementing effective climate action strategies through spatial planning. The appointee will be responsible for leading the modelling work on this project and coordinating the research and
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this goal. However, the computational expense of these models limits their use for generating forecasts, constraining the spatial resolution, level of physical complexity, and number of ensemble members
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the intersection of mucosal immunology, cancer, and spatial transcriptomics, with the ultimate goal to understand and harness immune responses in human diseases. The Engblom and Villablanca labs form a tight-knit
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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to usher in the era of personalized disease modeling? The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals to fulfill a variety of full-time temporary staff roles
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months - expiration date 21st november 2025 at 1:00 pm - at the Department of Information Engineering Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria
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; Proficiency in ROS/ROS2 (Robot Operating System) and middleware for data integration; Knowledge of temporal and spatial synchronization of sensors and extrinsic/intrinsic calibration. Computer Vision and 3D
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of large spatial and temporal biodiversity datasets. Since almost 20 years the Rhine-Main-Observatory (RMO; https://www.senckenberg.de/rmo/ ) has been part of the German LTER network (https://www.ufz.de/lter