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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
, epitranscriptomics (e.g., detection of RNA modifications based on nanopore direct RNA sequencing data), and integrative multi-omics analysis Build and optimize robust bioinformatics pipelines for data integration
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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, we seek a highly motivated researcher with a proven track record in parallel programming models for CPS, high-level compilers, system and computer architecture and automatic code optimization
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, maintenance, and optimization of analysis pipelines and related IT infrastructure execution of primary data analyses for various omics datasets (focus on NGS) involvement in collaborative projects, including
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management of this unique region, ensuring that it
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
nanoparticles carrying targeting ligands for enhanced cell specificity. Your tasks Optimization of the targeting ligand conjugation to nanoparticle surface (conjugation chemistry parameters, purification methods
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profile to the existing research areas at the institute in order to optimally complement the existing competencies. Cooperation and networking within the faculty especially with the institute of pharmacy
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on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend