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                Employer- Delft University of Technology (TU Delft)
- Nature Careers
- Technical University of Munich
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- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); today published
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- AI & Cyber Futures Institute - Charles Sturt University
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- Delft University of Technology (TU Delft); 17 Oct ’25 published
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- Wetsus - European centre of excellence for sustainable water technology
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                that are derived from novel ground-based atmospheric remote sensing profile observations. Heat risks to human health and mortality are exacerbated in urban areas, where heat waves are more intense and last longer 
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                and share knowledge of endangered archaeological sites across eleven African countries using a combination of remote sensing, historical map analysis, records-based research supported by ground 
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                Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 2 months agoof surface-atmosphere interactions and limitations in current observational methods . Traditional remote sensing techniques are generally indirect, inferring evaporation from thermal imagery and reflectance 
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                to solve real-world problems. Current activities include:•Microwave communications and millimeter-wave engineering•Radio propagation and antenna design•Remote sensing and object imaging systems•Advanced 
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                and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such 
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                , MODFLOW, SWAT, PHREEQC), geographic information systems (ArcGIS, QGIS), remote sensing, and scientific writing. Excellent communication skills in English (spoken and written). Ability to work independently 
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                ? What observational facilities and methods will allow investigation of bodies beyond the Solar System, the remote sensing of their atmospheres and the search for signatures of geological and biological 
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                processes, remote sensing observations, and prediction and valuation of forest functions, providing a holistic view on forests as complex systems. See the project website to find out more about the FORFUS 
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                of research experience; OR master's degree and two (2) years of research experience. Preferred Qualifications: Ph.D. in Geography, Environmental Sciences and Engineering or equivalent with emphasis on remote 
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                , Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as