74 computational-physics "https:" "https:" "https:" "https:" "Caltech" uni jobs at Leibniz
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two letters of reference) by January 31st , 2026. Conveniently use our online application system: https://www.leibniz-inm.de/stellenangebote/ The INM is an equal-opportunity employer with a certified
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information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our
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the process. The implementation of the Future Plan, funded with a total of 660 million euros from the Federal Government and the State of Berlin, will only succeed with strong interdisciplinary national and
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), the largest long-term educational study in Germany. Your work environment ENTAILab is the core infrastructural service and research centre of the “New Data Spaces” program, a DFG-funded multi-local
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(at)tum.de . More information on the working group can be found here: https://www.leibniz-lsb.de/en/research/research-sections/section-ii/ . Please send your application, including a tabular CV and a current
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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well as to the ZALF's executive board. https://www.uni-giessen.de/de/ueber-uns/karriere/stellenangebote/professuren/9-03-26-e
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as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/
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Wildlife Sanctuary in Thailand. The Assamese Macaque Project at Phu Khieo Wildlife Sanctuary in Thailand has been running since 2005 (https://www.dpz.eu/en/social-evolution-in-primates/field-station
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Computer Science, Data Science, Physics, Mathematics, Computational Biology, or related fields. Solid experience with Machine Learning / Deep Learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn). Strong