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with numerical modelling, preferably glacier modelling; strong programming skills (e.g., Python, MATLAB, Fortran); experience with processing large scale datasets from remote sensing products and models
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PhD you will focus on the Himalaya, and you will combine detailed land-surface modelling with field observations and remote sensing to quantify and understand the impact of these non-linear changes
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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remote sensing, numerical modelling, and fieldwork. We recognize that no candidate will have experience in all of these areas, and we encourage you to apply if you have the following qualifications
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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improvements will be compared to local and remotely sensed observations during extensive validation and sensitivity analysis. A personalised training programme will be set up, reflecting your training needs and
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seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water
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to interpret remote-sensing observations of icy moons. You will join an interdisciplinary and international team that integrates laboratory astrochemistry, spectroscopy, quantum chemistry, radiative-transfer
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, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences