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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 2 months ago
team member will have the opportunity to expand her/his scientific knowledge and skills by performing multi-omics (RNA sequencing, proteomics, metabolomics) data analyses. Additionally, the new co-worker
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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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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
ComAI tools (such as structured prompt sequences, contrastive analysis, consistency tests, and preference measurement; quantitative: bias detection and benchmarking) Co-implementation of interview studies
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alignment with the molecular and clinical foundations of metabolic diseases, neurobiological processes, and/or mechanisms of cellular signal transduction is desired. Where to apply Website https://www.uni
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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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from multiple disciplines to address complex research questions that require an interdisciplinary approach. Shape your scientific journey in fields such as molecular and cellular biology, genomics and
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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
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viruses and the immune response of infected hosts), RNA technologies (such as single-cell RNA sequencing, CRISPR-Cas and other RNA-programmable protein complexes, visualization of RNA localization in
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, fluorescence-activated cell sorting and “Next Generation Sequencing”. The doctoral researcher will become “One Health” expert with special focus on animal experiments, investigating holistically
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art. The Data Team is working closely with computer vision researchers