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Field
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experimental data. Develop computational frameworks for integrating spatial and bulk multi-omics datasets. Create and apply statistical and machine learning models for feature extraction, data harmonisation, and
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Environmental and Spatial Epidemiologyresearch group at the Institute of Social and Preventive Medicine (ISPM), University of Bern. We investigate how environmental exposures, including ionizing radiation, air
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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genomic approaches is to explore clinically relevant aspects of brain tumor biology. We pursue this goal using patient samples profiling, investigating temporal and intra-tumoral/spatial heterogeneity as
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on complex problems involving the development of new theories and methodologies. The research will be largely focused on the development of predictive computational tools for the analysis of the spatial spread
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environmental management or policy. Experience with spatial and spatiotemporal statistical models Experience with diet analyses and/or predator–prey modelling. Experience with trophic ecology methods such as
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environmental management or policy. Experience with spatial and spatiotemporal statistical models Experience with diet analyses and/or predator–prey modelling. Experience with trophic ecology methods such as
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society are required. Knowledge and skills of GIS and spatial studies are considered advantageous. To apply, please submit your application at https://careers.purdue.edu and include the following materials
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learning [3,4]. Indeed, the sensors can be represented as a graph, where each node corresponds to a sensor and the edges represent the relationships between the sensors. These relationships can be spatial
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on a unique cohort of 1,750 human liver samples and 400 blood samples and integrates high-resolution genomic approaches (ultra-deep WES, ddPCR, single-cell RNA-seq, spatial transcriptomics). Main