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07.03.2024, Professuren The Technical University of Munich (TUM) invites applications for the position Professor in » Photogrammetry and Remote Sensing « W2 Tenure Track Assistant Professor (with
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
Preparation of remotely sensed observations, e.g., from GRACE and Swarm satellites Assimilation of gravimetry and electromagnetic observations Analysis of modelled and state estimated geophysical systems
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Machine Learning and Computer Vision for remote sensing and processing satellite data. Our group studies natural and designs artificial cognitive systems, researches their relationships and develops methods
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Remote sensing for agriculture and vegetation systems. The successful candidate will work in an interdisciplinary project team that aims to map plant traits (e.g., chlorophyll, nitrogen) and weeds using
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modeling is a plus Ability to work independently and as part of a team Experimental enthusiasm is a must! Please feel free to apply for the position even if you do not have all the required skills and
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varied work in an enthusiastic, multicultural team Flexible work (location) arrangements, e.g. remote work Flexible working hours in a full-time position (39 hours / week) with the option of slightly
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in Europe; Analysis and integration of collected data and publicly available databases (e.g., FLUXNET, ICOS, remote sensing dataset); Co-supervise doctoral students and collaborate with other MPI and
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some knowledge and experience in programming (preferably in Python) Very good knowledge in German or English Please feel free to apply for the position even if you do not have all the required skills and
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Your Job: You will join the Simulation and Data Lab `AI and ML for Remote Sensing,` which aims to enhance visibility in interdisciplinary research between applications from remote sensing and large
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to § 2 WissZeitVG) on the research topic Remote sensing of aerosols and their properties in the Arctic using satellite data Both positions are embedded in the third phase of the very successful