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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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Socio-Natural Hazards and Risks. STRENGTH is a multidisciplinary platform, involving colleagues from physical geography, spatial data science, environmental economics and environmental psychology
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state-of-the-art magnetic imaging with advanced electron microscopy techniques. You will generate high-quality experimental datasets that form the basis for data-driven micromagnetic modelling developed
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(e.g., ball milling, high-pressure fracture experiments), magnetic-resonance-based characterization, geochemical analysis, microbial ecology approaches, alongside modeling hydrogen migration and storage
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, tracking, spatio-temporal modeling, edge learning) using field data (traffic cameras, micromobility telemetry, connected vehicle/V2X, crash records, GIS). · Manage and coordinate pilot deployments
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
at different spatial scales (from plot level to regional level). These indicators are derived using different sensors (field spectrometer, drone with hyperspectral sensor, and satellite imagery) that can be a
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the causal circuits driving the development and the functional specialisation of the largest macrophage population in the body: the liver-resident Kupffer cells. You will next develop Spatial CRISPR screens in
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of Finland (website) . The projects will explore chemically mediated intra- and interspecific interactions with a focus on understanding the spatial and temporal dynamics of interactions. The projects will
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Microwave Spectroscopy system. This technology will unlock an unprecedented combination of ultra-high bandwidth and adaptable spatial resolution, allowing for the simultaneous, multiscale measurement
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participatory mapping, interviews, ecological fieldwork, ethnography, arts-based methods and relation-based simulation modelling in transdisciplinary processes in order to examine ecological and socio-spatial