142 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" positions at Leibniz
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: Programming skills (e.g., Python). Experience with digital materials science, data organization, and storage. We Offer: A 3-year E13 TV-L 100% contract starting 2025 or 2026, depending on availability. A
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. Information on the DFG Priority Program SPP 2322: https://soilsystems.net/ For cost reasons, application documents or extensive publications can only be returned if an adequately stamped envelope is attached
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increasing sustainable economic prosperity and social participation under constantly changing conditions. Want to know more about us and your career opportunities? Come and meet us at https://www.ifo.de/en
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information at: http://www.ifw-dresden.de . The Institute for Metallic Materials (Prof. K. Nielsch) of the IFW Dresden offers a Post Doc Position (m/f/div) on the following topic: Project Coordination and Build
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
until 15 January 2026 to (see button e-mail application below). https://jobs.zalf.de/jobposting/70f91c6251650b58347f943683a60c00ccd3b5750 If you have any questions, please do not hesitate to contact us
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: development and coordination of the wind erosion monitoring program, the development and adaptation of measurement methods and modelling approaches both in the ZALF part of the project and between the involved
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English-language skills. Experience with programming is highly recommended. Above-average interest in the topic, we consider self-motivation and the ability to face new professional challenges as self-evident
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number: 43-2025 Project Coordinator) in the field of Climate and Policy, starting on 01.03.2026. You can get a first overview over the project here: https://whatworksclimate.solutions/ The position is
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extensive support through the graduate school (IRTG:(https://sfb1436.de/de/graduate-school/). Your profile: MSc in Neurosciences, Life sciences or related fields Experience in behavioural and molecular
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a relevant subject area (e.g., sociology, economics, social sciences, empirical education research) Very good knowledge of quantitative analysis methods and confident use of statistical programs