199 development-"https:"-"https:"-"https:"-"European-Commission" Postdoctoral positions at Nature Careers
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reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate
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application. Our aim is to develop innovative methods for the cost-effective production of personalised gene therapies using non-viral gene transfer. The research project is geared towards a future spin-off and
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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of ArboKlim is to develop scientifically robust indicators and practical tools that support risk assessment, vegetation management, and the long-term resilience of culturally and socially important green spaces
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A 24-month postdoctoral position is available in organic synthesis and drug development at the Department of Chemistry, Technical University of Denmark, starting from August 2026. The project will
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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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Job Advertisement Job-ID 03/2026 At the Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI), we investigate the pathobiology of microorganisms and develop new natural
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maximum of one postdoctoral research experience in an internationally visible academic research environment. Demonstrated excellence in one or more of the following fields: organic synthesis, development
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, the candidate will contribute to the human and environmental microbiome focused research at DoME. One of the main tasks will be the development of high throughput, sequencing-based microbiome profiling methods
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at the intersection of machine learning, CRISPR screening data analysis, and multi-omics to uncover genetic interactions and synthetic lethalities in cancer. Develop and apply scalable, reproducible computational