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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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priority will be given to candidates that study cellular and molecular processes using high-dimensional biological data such as single-cell or spatial omics, structural data, advanced microscopy, multi-modal
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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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share with the research community. To achieve those goals, we are currently using mammalian cell lines (including stable cell lines) and induced pluripotent stem cells (iPSc) as model systems, as
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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
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opportunity for you. HYDRA-EO focuses on the multi-scale detection of biotic and abiotic stress in Mediterranean crops using UAV hyperspectral and thermal imagery, radiative transfer modelling, agronomic field
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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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contribute to projects using cutting-edge molecular, cellular, and spatial profiling approaches to dissect vascular and immune signaling across injury models. Key technologies and methodologies include
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, but also to develop approaches to prevent damage. In the project we aim to develop a numerical model to predict root growth. Your task as a Postdoc researcher is to develop a measurement and monitoring