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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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, and network events. Supervision by leading experts in the field and structured doctoral training. A stimulating and collaborative international research environment. Employment Conditions Start date
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
), under the direction of Professor Steffen Mau, conducts research in the areas of social change and transformation, inequality and social structure, social and political conflict, and migration and borders
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 15 days ago
of Inequality, Transformation and Conflict (ITC), under the direction of Professor Steffen Mau, conducts research in the areas of social change and transformation, inequality and social structure, social and
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or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working environment ▪ Full-time position (TV-L E13) with the possibility
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healthcare data Your tasks… Developing novel models for sequential decision-making under uncertainty Conducting theoretical analysis (e.g., structural properties, optimal policies) Designing and implementing
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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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analyzing the impacts of global change on freshwater ecosystem functioning, community composition, food-web structure and biodiversity. Experiments investigating how benthic or planktonic primary producers
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth sciences
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structured information. Manual analysis is time-consuming and makes it difficult to identify relevant patterns and connections. The I-WASH project aims to support investigators by applying modern ML methods