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part of the large portfolio of EMBL’s experimental services and core facilities (https://www.embl.org/services-facilities/ ). It provides cutting-edge services in the areas of next generation sequencing
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analysis of microbial communities using 16S rRNA amplicon sequencing to identify key organisms and environmental factors. Investigation and comparison of exposed field samples and samples from laboratory
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technique. If successful, this could pave the way to nano-optical read and write heads for future data storage as well as to direct sequencing of nucleic acid and protein sequences by scanning-probe Raman
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Participation in field sampling (animal facilities), execution of biotechnological and process-related experiments Microscopy and sequencing Statistical analysis and data visualizationare desirable. Your
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
-based digital twin, which can predict the assortment and sequence of two-dimensional all-DNA motifs required for the engineering desired tessellation patterns at the nanometer scale. We will use available
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). The project combines cutting-edge long-read sequencing technologies with clinical research on rare neurological disorders. You will join a highly interdisciplinary team, benefit from close supervision, access
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) Contract:TV-L Your tasks Implement advanced machine learning and data integration approaches Analyze and interpret single-cell and multiomics high-thoughput sequencing data Collaborate with leading wet lab
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methods for the annotation and visually supported analysis of activities and activity sequences, ideally online Evaluation of the developed methods using synthetic and real sensor and scene data Supervision
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). Therefore, we are planning to investigate the liver-brain axis after ischemic stroke using RNA sequencing, additional LC-MS/MS measurements, cell culture and animal experiments. Candidates should be
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molecular biology and tissue culture methods, along with next-generation sequencing (NGS) technologies, including single-cell sequencing, to interrogate transcriptional networks. A central focus of your work