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responses. The position will be embedded within the research groups of Prof. Dr. Peer Fischer and Prof. Dr. Jochen Wittbrodt to combine engineering and biomedical expertise. The position is also embedded in
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We offer: The successful candidate will be hosted in the junior research group Metabolomics-guided Natural Product Discovery and be part of a young and dynamic team. The Leibniz-HKI is embedded in
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researcher to join our dynamic team. Our group is embedded in a broader institutional strategy with a strong interest in cell and immune therapy. We study the bidirectional interac-tions between tumor cells
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candidate will join the EDFM group at the Technical University of Munich to advance our understanding of the adaptive capacity of European forests to natural disturbances. This position is embedded in the DFG
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, R/Python) is welcome We offer: A dynamic, interdisciplinary service platform environment embedded in Germany’s leading Life-Science campus Access to cutting-edge instrumentation (timsTOF fleX MALDI-2
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collaborations. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups
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-equipped Lab with an international team and the focus on immunobiology Access to multiple state-of-the-art facilities. Our work is embedded in the Beutenberg Campus , an interdisciplinary base for innovative
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. The project is embedded in the Collaborative Research Center “Cellular Plasticity in Malignant Myeloid Diseases – From Mechanisms to Therapy” and involves close interactions with academic and clinical partners
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. About the project This position is embedded in the RIVIERADE project (IMPROVING MODELLING METHODS TO PRODUCE CLIMATE SERVICES FOR RESILIENT EUROPEAN SEAS AND COASTS IN A DECADAL TO MULTI-DECADAL HORIZON
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independent researcher embedded within the CRC, you will shape how the global community evaluates and compares brain-inspired and AI-based vision models. Your Role Develop next-generation benchmarks and