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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software
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22.04.2022, Wissenschaftliches Personal The Professorship for Environmental Sensing and Modeling at the Faculty of Electrical Engineering and Information Technology is researching topics
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). The aim is to use modern molecular biological methods and in vivo models to investigate the role of fibroblastic plasticity in cardiac remodeling and loss of function. Your role: Independent work on the
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(SDPs). You will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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Identification of soil invertebrates (e.g. mites, springtails, insects) using modern and classical techniques Laboratory analyses of soil properties Statistical analysis of complex ecological datasets Presentation
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will design climate change mitigation scenarios that respect both climate targets and sustainable development goals using the REMIND model, one of the world’s leading integrated energy-economy-climate
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soon as possible. The position is within the Math+ project "Anisotropic microfluids -- fluctuations, control, effective models and their numerics “. Here, we study anisotropic microfluids and the effect