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» Willingness to conduct several months of ethnographic research in south-central Africa and to learn the local vernacular Silozi » Excellent knowledge of English is required; knowledge of German or willingness
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for reinforcement for our team (Computational Imaging Research Group) that creates novel imaging systems with unprecedented capabilities. Be part of change Literature review on state-of-the-art machine learning
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. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is February 2, 2026. Please apply via our
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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Your Job: Research and extract industrial and commercial buildings across Germany using open-source geospatial data (e.g. OpenStreetMap, CORINE Land Cover, Sentinel, etc) Apply machine learning/AI
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the application and theory of electromagnetic geophysical methods, especially magnetotellurics Sound computer skills in Windows and Linux Demonstrable, sound programming knowledge and experience in at least one
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of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket as
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documents by February 16, 2026 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies) preferably via the TUD SecureMail Portal https://securemail.tu
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, ethics in field research or public forms of anthropological knowledge production - and establishes links to topics related to education and learning. International networks, the implementation of research
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of recommendation have been uploaded and submitted by your referees. Submit application to Online application portal Information and instructions: https://www.mps.mpg.de/phd/application Latest call for applications