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Research Center for Molecular Medicine (CeMM), ÖAW | Graz 12 Bez Andritz, Steiermark | Austria | 3 months ago
scientific profile. Develop skills relevant for future independent scientific leadership, including the preparation for competitive fellowship and ERC-style grant applications. Learn how to exploit insights
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explores how the nervous and immune systems interact in cancer and how these insights could unlock approaches to treatment. Using advanced mouse models and tissue culture systems, the team investigates how
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legal, policy, scientific, and technical information into clear and actionable insights. Preferred Qualifications: Additional advanced degree (e.g., Ph.D., Dr.P.H., M.P.H., M.P.P., M.S., M.A
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, you will work with fellow academics and professional services colleagues on the design, coordination, and evaluation of integrated knowledge-mobilisation activities, ensuring that insights generated
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will be keen to innovate and excited to learn more about areas which you may not yet be familiar with, including from other disciplines, integrating insights into your research and associated
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and multi-omics data analysis. Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights
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the preparation for competitive fellowship and ERC-style grant applications; Learn how to exploit insights to invent new drugs and tools to modulate and engineer metabolism; Become part of the founding phase of a
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of the next-generation (eco)hydrologic models, and produce novel scientific insights regarding hydrologic responses and their controls during climate extremes. Required Department Minimum Qualifications: Ph.D
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of Basic Medical Sciences overall objective is to promote basic medical knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health
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School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical