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Field
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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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innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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29.04.2021, Wissenschaftliches Personal This PhD position is in the field of resource management for wireless network that leverage “digital twins” modeling aspects of the physical (such as user
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The successful candidate will conduct cutting-edge empirical research in at least one of the following areas Natural resources and environment, Climate change and policy, Digitalisation, AI and smart technologies
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to the understanding of climate change and its consequences. The climate effect and the ability of mixed-phase clouds to form precipitation is strongly dependent on the presence of ice crystals. Observations show that
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stem/progenitor cell plasticity (HSPCs), and leukemic transformation. The project will use innovative 2D and 3D HSPC/MSC co-culture models, functional clonogenic and differentiation assays, bulk and
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, to characterize immune cell dynamics in murine models of inflammation and cancer. RESPONSIBILITIES: Developing and performing computer simulation of MRI contrast of labelled cells and tissue Labeling and tracking
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). Tasks The successful candidate will conduct cutting-edge empirical research in at least one of the following areas natural resources and environment, climate change and policy, digitalisation, AI and
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-situ measurement network and perform terrestrial laser scanning, analyzing microclimate data and their relation to forest structure, and using optical satellite time series and radiative transfer models