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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 4 hours ago
. Environmental Sciences and Biodiversity: Members of this PhD study programme work in the fields of marine sciences, microbiology, modelling, biology and environmental sciences. Presently, the research training
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of human-environment research. The general theme associates process mapping and modelling, creation of material balances (water, air, sediment, carbon, nitrogen and pollutants), the reconstruction of past
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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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working time models and the possibility of mobile working, because creative and innovative ideas can arise anywhere. We also attach great importance to intensive induction training and an open and collegial
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. We create a work-life-balance through flexible working time models and the possibility of mobile working, because creative and innovative ideas can arise anywhere. We also attach great importance
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working time models and the possibility of mobile working, because creative and innovative ideas can arise anywhere. We also attach great importance to intensive induction training and an open and collegial
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deforestation rates, improved agricultural practices, reduced mismanagement of land use and enhanced community engagement #assist in the biophysical modelling system (link to ClimateBridge cluster) to local
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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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construction of random unitaries based on quantum circuits Transfer these efficient randomization techniques into applications, especially classical shadows Model and identify the effects of experimental errors
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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