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Field
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PhD project: In higher eukaryotes, proteins that lack an apparent folded structure are enriched in many vital processes. The Lemke group studies intrinsically disordered proteins in vital cellular
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structural modeling, protein engineering and directed evolution, ML approaches of biomolecular design, high-throughput screening technologies, biochemical and biophysical characterization of proteins
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-time data acquisition during production, consulting, and prototype manufacturing. Graph neural networks provide an opportunity to operate on Mesh structured data utilized in Finite Element Method (FEM
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the construction of test facilities, developing and implementing safety plans and procedures, designing and conducting experiments, setting up teaching formats (e.g., lab courses) based on the test facilities and
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in computer science, data science, and research IT. The overarching goal is to jointly develop sustainable, FAIR-compliant data structures that will support scientific discovery within the cluster in
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code bases (including version control, structured development processes) High interest in experimental research and motivation to independently familiarize yourself with new technical subjects Very good
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structures (printed sensors) Your activities will include laser functionalization with class 4 lasers You will also be responsible for performing various methods for analyzing the printed thin-film structures
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be applied to identify faint aerosol structures. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed species and anthropogenic effects
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Course language English and German Current information Application deadlines: 15 March and 15 September Financial support No Structured research and supervision Yes Research training / discussion Yes
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technologies (OpenStack, Singularity, Docker, Kubernetes, etc.). You are fluent in spoken and written English; German language skills are a plus. Your working style is structured, systematic, and strongly