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Field
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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• Analyse convective storms with emphasis on convection initiation, using multi-source observational datasets, remote sensing products, and reanalysis. • Integrate and compare observations, NWP model
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₃ emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and
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-person job, and the Fellow must reside in Carteret County to work with community partners – this job is not eligible for remote work. The NSOE Community Engagement Fellow at DUML will support organizations
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implement reproducible pipelines that ingest, clean, and harmonize fragmented data from remote sensing, survey, census, administrative, and citizen science sources into coherent, analysis-ready datasets with
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of the research project, research may also incorporate advanced optical diagnostics, quantitative image analysis, computational modeling, and remote sensing technologies to improve understanding, evaluation, and
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into many novel aspects of developing offshore digital twins, such as sensing, data handling, physics and AI modelling, software development, as well as experiments at the Cranfield Ocean Systems
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expected to work in investigating the use of data and imagery to monitor the coastal environment. Other responsibilities can include: • Lead the design, planning, and implementation of UAV-based remote
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sciences discipline such as oceanography, remote sensing, or meteorology. • Excellent data management and computing skills. • The ability to engage with and work with a wide variety of international
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genetics, plant physiological ecology and remote sensing. All candidates must have received a Ph.D. in a relevant field by the time of appointment. The postdoc will be based at the Harvard University Herbaria