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aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and
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biology, single-cell or spatial transcriptomics, bioinformatics, or multi-omic data integration. Experience with endogenous tissue, image analysis, or comparative developmental datasets is an advantage, but
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towards more sustainable trajectories and enriches the post-growth debate in spatial planning. Under the guidance of senior members of the project, based at Utrecht University, the University of Bern
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
(ALS) data and multispectral imagery, methods for spatial data analysis and the use of GIS tools and geospatial workflows, working with environmental datasets, in particular those related to forest
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related to the: Design of damage indicators from BIM and GIS data of different nature (georadar, LiDAR etc.)/etc.) and further integration and spatial analysis, focused on damage quantification. Where
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déterminer les solutions en matière de gestion agricole (cultures, pratiques culturales) et d'aménagement spatial capables de maintenir la fonction de production agricole sans (trop) pénaliser les fonctions
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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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projects with application development and spatial analysis. U-Spatial is a nationally recognized model that advances the fast-growing need for expertise in Geographic Information Systems (GIS), remote
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analysis pipeline to probe cell and tissue mechanics and cell–cell mechanical interactions. Microfluidic systems for controlled migration assays, immune‑cell trafficking, and spatially resolved tumor–immune
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Archive, U.S. Forest Inventory and Analysis program, sPlotOpen) along with geospatial soil and climate data to apply resource colimitation theory in the refinement of correlative-based species distribution