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and geospatial tools to address fundamental questions in biogeography. Resulting maps and models will be used to characterize patterns of biodiversity, spatial turnover (β-diversity), and habitat
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the neurobiological interpretation of MRI- based metrics, we employ virtual histology (spatial correlation between gene expression and cortical phenotypes). To validate findings obtained in cohort studies, we use ex
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. The successful candidate should apply state-of-the-art methods in either aquatic ecology and biodiversity research (e.g., environmental omics, eDNA, etc.) or hydrology (e.g. integrated modeling and/or AI-based
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- Enthusiasm and interest in disease ecology - Experience with mathematical disease modelling, spatial and/or niche modeling, meta-analyses, and other quantitative analyses (especially if requesting remote
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the handling of natural hazards. The Land Change Science research unit studies patterns and processes of land systems and their dynamics over various spatial and temporal scales. The Forest Diversity and
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the composition and spatial organization of the gastric microbiota in biopsies. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow) and
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Associate, Lovejoy Center Posting Number req24906 Department AZ Inst for Resilience Department Website Link https://lovejoycenter.arizona.edu/ Location Main Campus Address Tucson, AZ USA Position Highlights
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appropriate field. You will work on the project “Data-Driven Micromagnetic Modelling”. Your job This study contributes to SPARK, an ERC Consolidator project that aims to unlock magnetic information stored in
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on fishery community profiling using established methodology; scholarly review and compiling datasets; statistical and spatial analysis; archival, ethnographic, and participatory research; GIS and social
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pathology, microbiology, modeling, bioinformatics, biostatistics and biophysics for the quality and health of horticultural species and seed production. As part of the IRHS, the ImHorPhen (Imaging