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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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seismological data using Music information retrieval separation Locate seismic sources Publish and maintain code Interpret seismological data jointly with volcanological, remote sensing, and modelling data
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real
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October 2027 Salary: Full time starting salary (if PhD close to completion) is normally in the range of £34,450 per annum; Full time starting salary (if PhD obtained) is normally in the range of £37,337 per
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. Atmospheric measurements (in situ and remote sensing) provide a robust method to assess and improve emission inventories and to monitor the effectiveness of reduction measures. The project will develop
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research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
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at their assigned camp and participate in onsite pre-camp training. Apprentice Faculty must have completed at least one year of a master’s or PhD program in mathematics or a related field. Room, board, and round-trip
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open position aims at this problem domain, with a particular emphasize on formal methods (in a broad sense) in order to increase trust that the resulting system satisfies the desired (non-)functional
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project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong