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Service) applications Support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or
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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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personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
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will be given the opportunity to develop a doctoral thesis with extensive support through the CBBS graduate program (https://cbbsgp.med.ovgu.de ). Your profile: MSc in Neuroscience, Biology, Biomedical
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The Section Fundamental
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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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. 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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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
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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