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that connect floating wind turbines to the seabed remain one of the challenging issues in the engineering analysis and design of floating wind applications. Over time, these subsea cables become coated with soft
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integrated into the analysis of integrated assessment models (IAMs), which are used to support policymakers in designing effective climate strategies. In this PhD project, you will work on improving
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relevant for the position Work experience in multi-omics data generation and analysis (proteomics, transcriptomics, metabolomics) Experience in microbiology and microbial physiology Experience in handling
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regulation, RNA biology, protein biochemistry, stem cells, bioinformatics, sequence analysis, mathematics, statistics, molecular evolution, or biophysics, and wish to work at the Max Planck Institute
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-tech, state-of-the-art micromechanical experimental analysis of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
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the execution of the project. The candidate(s) will undertake original research in AI-driven Financial Computing, within the School of Informatics in collaboration with School of Mathematics and the Centre
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for donor kidneys. Central to this is the use of machine learning to evaluate the predictive value of biomarkers from various sources: donor-related data, perfusion fluid, and kidney biopsies. Kidney biopsies
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, interests and background: Wireless communication and signal processing, wireless networking and protocols, mathematical modelling and analysis, algorithm design, estimation theory, machine learning, embedded
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education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work. ... (Video unable to load from YouTube. Accept