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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
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inspiring and dynamic research environment with first-class laboratory facilities near Berlin and Potsdam a pleasant and appreciative working atmosphere flexible and family-friendly working time model and the
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
important part of our personnel policy. Your tasks #analysis and bias adjustment of an existing large ensemble of regional climate model simulations for Hamburg and Heide #development of impactful heatwave
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school of the University of Cologne’s Faculty of Arts and Humanities. The Faculty of Arts and Humanities – one of the largest of its kind in Europe – creates ideal conditions for an intensive, lively, and
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programme No Joint degree / double degree programme No Description/content The interdisciplinary research activities, from which you can choose a topic for your doctorate, are centred on theory and modelling
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environmental conditions and the analysis and modelling of the consequences of interventions in biogeochemical cycles. The social science methodology is included in the context of human ecology, political ecology
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics
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microscopy. Root architectural phenotyping. Plant and root physiological measurements to determine the function of root phenotypes. Functional-structural plant modeling to determine the benefit of root
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technology, project management, scientific writing, and presentation and other skills. Space missions and ground-based instruments, data analysis as well as theoretical and numerical modelling provide
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the University of Stuttgart with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as