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- Delft University of Technology (TU Delft)
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- Delft University of Technology (TU Delft); yesterday published
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- Delft University of Technology (TU Delft); today published
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of Geo-information Science and Remote Sensing. Where to apply Website https://www.academictransfer.com/en/jobs/357372/assistant-professor-in-remote-s… Requirements Specific Requirements You are/have A PhD
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work as part of a research team within the Laboratory of Geo-Information Science and Remote Sensing (GRS), which is led by Prof. Sytze de Bruin (https://www.wur.nl/en/persons/sytze-de-bruin-1.htm
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an interdisciplinary team of scientists. You will join the Geoscience and Remote Sensing Department (GRS), working closely with PhD candidates, postdoctoral researchers, and senior staff. TU Delft provides excellent
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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
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remote sensing data. Your job As a PhD candidate, you will study how the rapid thinning and loss of sea ice in the Arctic Last Ice Area, north of Greenland and Ellesmere Island, affects surface melt and
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and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment
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downlink modulators, digital communication equipment; Wave-propagation and interaction, including signal impairments and regulatory aspects; Performance assessment of RF and Optical remote sensing data
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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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interventions. Flexible hybrid working is possible: data analysis and statistical work can be done remotely, with regular on-site meetings for team collaboration and integration with clinical and imaging experts