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of spaceborne optical instruments for Earth observation missions Experience in optical instrument developments and performance calculations Knowledge of optical remote sensing techniques and understanding
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everyone. They will feel most inspired if they can identify with the stories and backgrounds of the scientists that we select. The Academy therefore invites you to nominate PhD students whose differing
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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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-information Science and Remote Sensing; you collaborate with colleagues and supervise PhD students, BSc and MSc theses and you develop and teach courses; you contribute to the further development of the Laboratory
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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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plus and will help you engage effectively with local communities and operational partners. Where, how, and with whom you’ll work You will join the Geoscience and Remote Sensing department at TU Delft
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Are you passionate about integrating agronomic, genomic, and remote sensing data to better understand plant stress, disease progression, and crop resilience? Do you enjoy working across field campaigns
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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