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addresses these challenges in an interdisciplinary approach of A) polysaccharide chemistry, B) analytics, C) modelling, and D) bio engineering applications. Early career researchers with backgrounds in (food
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knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
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sites will not be located directly at the source of emissions, which will require transport infrastructure. As part of this work, you will model spatially resolved transformation paths for the energy
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
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well as Mobility Modeling and Simulation. Research topics range from conceptual issues of strategic planning to small-scale analyses of specific street spaces. The chair’s methodological focus is on the empirical
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computing Advanced knowledge of numerical methods Geophysical fieldwork experience, preferably with GPR, EMI and ERT Strong English writing skills Since the work involves interdisciplinary cooperation with
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of Munich, Cologne and Hanover as well as the German Weather Service in Offenbach and Lindenberg. The partners combine leading expertise in modeling and observing clouds and their radiative properties with
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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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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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Your Job: Analysis of possible applications of CO2 capture and CO2 utilization in the energy system requires detailed techno-economic modelling of these technologies. A major focus of this doctoral