Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Göttingen •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Humboldt-Universität zu Berlin
- Leibniz
- CHARITE - Universitaetsmedizin Berlin
- DAAD
- GFZ Helmholtz Centre for Geosciences
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Humboldt-Stiftung Foundation
- Max Planck Institute for Biogeochemistry •
- Multiple
- MyBiotech
- Universitat des Saarlandes
- University of Bremen
- University of Bremen •
- 11 more »
- « less
-
Field
-
remote sensing with focus on using ground-based observations from standard geodetic receivers. We expect the successful candidate to contribute actively to the further development and application of GNSS
-
this centre, we are opening a PhD position on remote sensing of mountain forest dynamics. The Technical University of Munich (TUM) is one of the leading universities globally. At the TUM School of Life Sciences
-
-driven simulations, optical remote sensing and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios. SEAGUARD aims to provide science-based recommendations
-
Your Job: In this position, you will be an active member of our "Simulation and Data Lab for AI and Machine Learning in Remote Sensing", which aims to strengthen interdisciplinary research by
-
sensing, and geodesy approaches Your qualifications: A PhD degree (or equivalent) in Geosciences, Earth Sciences, Geophysics, Remote Sensing, or a related field Background in active tectonics, structural
-
–policy interface for municipal biodiversity conservation and climate adaptation with nature-based solutions Processing and evaluation of remote sensing data, including methods of computer vision
-
, you will be an active member of our "Simulation and Data Lab for AI and Machine Learning in Remote Sensing", which aims to strengthen interdisciplinary research by bridging satellite remote sensing
-
, 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
-
the field of Atmospheric Physics limited until 31.12.2027 (according to § 2 WissZeitVG) for the research topic: Remote sensing measurements of atmospheric trace gases Research topic and tasks The global
-
quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply