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PhD Scholarship This project will use existing modelling and planning tools to evaluate and refine global carbon and biodiversity market design strategies. The student will gain expertise in
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Design, develop, and implement advanced algorithms, models, and software tools for spatial data analysis, machine learning, and AI-driven geospatial applications Lead and collaborate on interdisciplinary
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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that has revealed the existence of scaling laws in the spatial organization of cities, particularly concerning the succession of land uses from the city center (highly urban land use) to the periphery
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immunologists and chemists and integrates state-of-the-art omics approaches, including single-cell RNA-seq and spatial transcriptomics, performed in partnership with the GenoEast platform. The collaborative
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Work Location(s) Number of offers available1Company/InstituteCentre of Studies in Geography and Spatial PlanningCountryPortugalState/ProvinceCoimbraCityCoimbraGeofield Contact City Coimbra Website https
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and immune trafficking models. High-Resolution Imaging: Proficiency in spatially-resolved multiplexed imaging and confocal whole-mount tissue analysis. scRNA-seq: Experience designing 10x Genomics
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transfer; spatial neighborhood/domain analysis; multi‑omic modeling for RNA+protein where applicable. Pipeline automation & reproducibility – 10% Implement/maintain Snakemake/Nextflow workflows with
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. Description: The successful post-doc will participate in a program which focuses on understanding the Martian atmosphere, its variability, and its interaction with the surface through observing and/or modeling
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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging