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Field
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will be based on qualification and research experience according to the wage agreement TV-L, up to pay scale 13, 65% of the regular working time. The conferral of a doctorate is possible at Technische
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processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth observation data. Our team aims at tackling societal grand
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” the temporal formation of radiation damage will be investigated. Radiation may induce elementary lesions like double strand breaks to the DNA in cell nuclei, which may interact within a certain time scale
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arbitrary complexity and shape at the sub-nanometer scale. Such structures can be used to construct artificial cell mimics and new materials. A scaffold-free DNA tile assembly is a programmable method for the
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other leading corporates. Transportation data are inherently spatial, temporal, multi-modal, and high-dimensional. Our work addresses the challenges of Perception, Decision, and Explanation (PDE) in
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these data and histopathology im-ages (in collaboration with PD Yuri Tolkach, University Hospital Cologne) • Integrating multi-modal data to identify genomic determinants of TLS formation Our long-term goal
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. He/she/they will learn and apply state-of-the-art molecular and cell biology technologies established in our team, ranging from in vivo disease models to multi-omics and single cell analysis
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process