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Field
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Appointee with a background in R&D AI/ML engineering, aerospace engineering, mechanical engineering, or atmospheric science to join our team. You will work with a multi-disciplinary team to develop
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Philanthropy and is fixed-term until 31 Dec 2027. A further extension to this would be based on funding availability. You will conduct hands-on empirical research in multi-agent security and agentic AI security
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is recruiting a large multi-disciplinary team of postdoctoral researchers for the development of advanced computational imaging techniques and their cutting-edge applications in radio astronomy, space
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of recombinant proteins, and microbiota. Experience in multi-omics would be a plus. Location: Goss Laboratory (0180) Position Type: Term (Fixed Term) Scheduled Hours: 40 Shift: First Shift Final
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establishing robust analytical pipelines and developing novel computational and statistical methods for integrative analysis of multi-omics and clinical data UF Sepsis and Critical Illness Research Center
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Denmark and focuses on the development of chemical probes for a brain relevant kinase. The successful candidate will join the Frølund group, and the position offers a dynamic and multi-disciplinary project
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multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities. The successful candidate will work at the interface of computational
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Rikshospitalet, with access to excellent core facilities and close proximity to Oslo’s city center and surrounding nature. Start date: 01.05.2026 or at the earliest after that. About the convergence environment
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 7 days ago
of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which
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rich molecular cargo, which is characterised using multi-omics approaches to identify biomarkers at the transcriptomic, proteomic, and lipidomic levels. The project comprises several steps, including