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the services nature provides to people. The position will combine ecological data analysis with statistical and spatial modeling to quantify chemical impacts across multiple levels of biological
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GIS-based mapping and spatial analysis of the urban environment, as well as competence in data processing and visualization, is required. Experience in 3D modelling of urban form is also essential
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Mathematics and Statistics we conduct research within the theory and implementation of biomathematics, biostatistics, spatial modeling, differential equations, Bayesian inference, large-scale computational
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sophisticated mouse genetic models of cancer and conditional gene targeting, single-cell RNA-seq, spectral flow cytometry, multiplex imaging and spatial genomics data acquisition and analysis. Where to apply E
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metastatic disease. To tackle these questions, we use cutting-edge technologies, including spatial transcriptomics, single-cell multi-omics, tumor immunology, and in vivo genetically engineered mouse models
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system. You will combine a mechanistic model and bioinformatic analysis of public datasets to derive a score for quantifying cancer immunogenicity. You can find out more about the research here: https
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the social and environmental implications of proximity models, combining spatial, mobility and socioeconomic data to develop indicators and tools for the toolkit. The candidate will also assume coordination
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to create Temporal and Spatial rescaling of satellite remote sensing data Geospatial Model automation with GeoAI with python script-based independent tools development to use in Models for Culvert
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improvement. Pursue and support grant-funded research through methodological design, analytic strategy, and dissemination. Conduct advanced statistical modeling (regression, multilevel, survival, and causal
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The global expected outcomes of the project are to propose a new model for