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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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Medicine Greifswald – where innovation meets tradition and together we shape the future of healthcare. We are proud of our diverse team of professionals who are passionately dedicated to excellent patient
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technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your
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)! Tübingen has a long history of academic excellence (founded in 1477; DNA was discovered here ; linked to 11 Nobel laureates) and is an innovation center in medicine and machine learning. About Eberhard
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consisting of biologists, MDs, and bioinformaticians. Our group fosters independence, innovation and collaboration of the next generation of scientists. The position is available for an initial period of two
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research team consisting of biologists, MDs, and bioinformaticians. Our group fosters independence, innovation and collaboration of the next generation of scientists. The position is available for an initial
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Your Job: The PHOENIX - Launch Space Power-to-X joint project plays a central role in aligning the innovation cycles of P2X technologies with the long-term goals of the energy transition
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
on nanostructured materials can be established, paving the way for the rational design of novel catalytic materials. Project: Probing the structure of advanced materials for electrocatalysis using synchrotron
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA