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Field
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
ecosystems on the ocean floor react to environmental changes and (iv) develop scenarios for a “warmer world” from climate archives on the ocean floor with the help of climate models. Further information about
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around 30,000 people in nearly 15,000 households. SOEP aims to capture social change and thus handles a constant stream of new and diverse topics and tasks. Its data collection and generation adhere
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research on soil invertebrate communities. About the Project: Soil is a large reservoir of greenhouse gases (GHG). It can sequestrate or release potent GHG (CO2 , CH4 and N2 O). Soil invertebrates partake
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Your Job: • Addressing socio-technical research questions in the context of the transformation of the German energy system • Analyzing microdata (e.g., survey data, digital behavioral data) and
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relevant experience in management and administration in a similar position; knowledge of the structures of large research groups and university administration Experience in drafting manuscripts and research
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-Firmenticket that is partially subsidized. This is a fixed-term position limited to a period of 3 years. Remuneration is paid according to TVöD Bund, salary group 14. Application and information: We value
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following position Postdoctoral researcher (m/f/d) in Environmental Data Science and Machine Learning for the project BoTiKI Location: Görlitz Employment scope: full-time (40 weekly working hours) / part
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Research Center (CRC) “Data-driven agile planning for responsible mobility” (AgiMo), funded by the German Research Foundation (DFG). This interdisciplinary center, involving four universities and the German
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Performing atom probe tomography Application of deep learning algorithms for the correlation of the obtained experimental data and their analysis The majority of the work will be undertaken in Hamburg Your
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serve as a central hub for industry, academia, and policy-making. Together with international research partners, we develop information-theoretically grounded and application-driven algorithms in